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HANet/distill/best_mIoU_iter_90000.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5dfac04383de944b87b230e9796ed2622ecc057d30323ed8e42d5609bf4cc2bc
+size 60601169

HANet/distill/config.py

@@ -0,0 +1,51 @@
+_base_ = [
+    '/home/liuziyuan/proj/rmcd-kd/configs/_base_/models/KD-hanet.py',
+    '/home/liuziyuan/proj/rmcd-kd/configs/common/standard_512x512_200k_cgwx.py']
+
+dataset_type = 'LEVIR_CD_Dataset'
+data_root = '/nas/datasets/lzy/RS-ChangeDetection/CGWX'
+
+crop_size = (512, 512)
+
+checkpoint_student = '/nas/datasets/lzy/RS-ChangeDetection/checkpoints_distill/HANet/teacher_ckpt/initial/best_mIoU_iter_195000.pth'
+checkpoint_teacher_l = '/nas/datasets/lzy/RS-ChangeDetection/checkpoints_distill/HANet/teacher_ckpt/large/best_mIoU_iter_122000.pth'
+checkpoint_teacher_m = '/nas/datasets/lzy/RS-ChangeDetection/checkpoints_distill/HANet/teacher_ckpt/medium/best_mIoU_iter_74000.pth'
+checkpoint_teacher_s = '/nas/datasets/lzy/RS-ChangeDetection/checkpoints_distill/HANet/teacher_ckpt/small/best_mIoU_iter_158000.pth'
+
+model = dict(
+    # student
+    init_cfg=dict(type='Pretrained', checkpoint=checkpoint_student),
+    # teacher large    
+    init_cfg_t_l = dict(type='Pretrained', checkpoint=checkpoint_teacher_l),
+    # teacher medium    
+    init_cfg_t_m = dict(type='Pretrained', checkpoint=checkpoint_teacher_m),
+    # teacher small    
+    init_cfg_t_s = dict(type='Pretrained', checkpoint=checkpoint_teacher_s),
+)
+
+param_scheduler = [
+    dict(
+        type='LinearLR', start_factor=1e-6, by_epoch=False, begin=0, end=1000),
+    dict(
+        type='PolyLR',
+        power=1.0,
+        begin=1000,
+        end=100000,
+        eta_min=0.0,
+        by_epoch=False,
+    )
+]
+
+# training schedule for 100k
+train_cfg = dict(type='IterBasedTrainLoop', max_iters=100000, val_interval=1000)
+val_cfg = dict(type='ValLoop')
+test_cfg = dict(type='TestLoop')
+default_hooks = dict(
+    timer=dict(type='IterTimerHook'),
+    logger=dict(type='LoggerHook', interval=100, log_metric_by_epoch=False),
+    param_scheduler=dict(type='ParamSchedulerHook'),
+    checkpoint=dict(type='CheckpointHook', by_epoch=False, interval=1000,
+                    save_best='mIoU'),
+    sampler_seed=dict(type='DistSamplerSeedHook'),
+    visualization=dict(type='CDVisualizationHook', interval=1, 
+                       img_shape=(512, 512, 3)))

HANet/initial/best_mIoU_iter_195000.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ae0deb75f8bb6140996ceae6a7fd11525781ee9440d32f24e15f234a78dc04e9
+size 33597877

HANet/initial/config.py

@@ -0,0 +1,3 @@
+_base_ = [
+    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/_base_/models/hanet.py',
+    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/common/standard_512x512_200k_cgwx.py']

HANet/large/best_mIoU_iter_122000.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c042459354a0ce90fe0690d44dc360e645b80a78c6cec9ca69f338234812b475
+size 25744885

HANet/large/config.py

@@ -0,0 +1,29 @@
+_base_ = [
+    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/_base_/models/hanet.py',
+    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/common/train_large_512x512_100k_cgwx.py']
+
+param_scheduler = [
+    dict(
+        type='LinearLR', start_factor=1e-6, by_epoch=False, begin=0, end=1000),
+    dict(
+        type='PolyLR',
+        power=1.0,
+        begin=1000,
+        end=200000,
+        eta_min=0.0,
+        by_epoch=False,
+    )
+]
+# training schedule for 100k
+train_cfg = dict(type='IterBasedTrainLoop', max_iters=200000, val_interval=1000)
+val_cfg = dict(type='ValLoop')
+test_cfg = dict(type='TestLoop')
+default_hooks = dict(
+    timer=dict(type='IterTimerHook'),
+    logger=dict(type='LoggerHook', interval=100, log_metric_by_epoch=False),
+    param_scheduler=dict(type='ParamSchedulerHook'),
+    checkpoint=dict(type='CheckpointHook', by_epoch=False, interval=1000,
+                    save_best='mIoU'),
+    sampler_seed=dict(type='DistSamplerSeedHook'),
+    visualization=dict(type='CDVisualizationHook', interval=1, 
+                       img_shape=(512, 512, 3)))

HANet/medium/best_mIoU_iter_74000.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:30ff8cced9397dbe9f8644bf98fa413cf99e3456b9f49f88deabe4c7a4c8b2d7
+size 20387381

HANet/medium/config.py

@@ -0,0 +1,29 @@
+_base_ = [
+    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/_base_/models/hanet.py',
+    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/common/train_medium_512x512_100k_cgwx.py']
+
+param_scheduler = [
+    dict(
+        type='LinearLR', start_factor=1e-6, by_epoch=False, begin=0, end=1000),
+    dict(
+        type='PolyLR',
+        power=1.0,
+        begin=1000,
+        end=200000,
+        eta_min=0.0,
+        by_epoch=False,
+    )
+]
+# training schedule for 100k
+train_cfg = dict(type='IterBasedTrainLoop', max_iters=200000, val_interval=1000)
+val_cfg = dict(type='ValLoop')
+test_cfg = dict(type='TestLoop')
+default_hooks = dict(
+    timer=dict(type='IterTimerHook'),
+    logger=dict(type='LoggerHook', interval=100, log_metric_by_epoch=False),
+    param_scheduler=dict(type='ParamSchedulerHook'),
+    checkpoint=dict(type='CheckpointHook', by_epoch=False, interval=1000,
+                    save_best='mIoU'),
+    sampler_seed=dict(type='DistSamplerSeedHook'),
+    visualization=dict(type='CDVisualizationHook', interval=1, 
+                       img_shape=(512, 512, 3)))

HANet/small/best_mIoU_iter_158000.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:bae9176f27257c6efed0f01bb03ea3faa3e4bea4f46ceba355fad2d99b3d9d0b
+size 29915893

HANet/small/config.py

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+_base_ = [
+    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/_base_/models/hanet.py',
+    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/common/train_small_512x512_100k_cgwx.py']
+
+param_scheduler = [
+    dict(
+        type='LinearLR', start_factor=1e-6, by_epoch=False, begin=0, end=1000),
+    dict(
+        type='PolyLR',
+        power=1.0,
+        begin=1000,
+        end=200000,
+        eta_min=0.0,
+        by_epoch=False,
+    )
+]
+# training schedule for 100k
+train_cfg = dict(type='IterBasedTrainLoop', max_iters=200000, val_interval=1000)
+val_cfg = dict(type='ValLoop')
+test_cfg = dict(type='TestLoop')
+default_hooks = dict(
+    timer=dict(type='IterTimerHook'),
+    logger=dict(type='LoggerHook', interval=100, log_metric_by_epoch=False),
+    param_scheduler=dict(type='ParamSchedulerHook'),
+    checkpoint=dict(type='CheckpointHook', by_epoch=False, interval=1000,
+                    save_best='mIoU'),
+    sampler_seed=dict(type='DistSamplerSeedHook'),
+    visualization=dict(type='CDVisualizationHook', interval=1, 
+                       img_shape=(512, 512, 3)))

IFN/distill/best_mIoU_iter_84000.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b905b44435c234f5ce7eac375de9cc07ea1fc814d9dd7e1b4e600e39eaef72d7
+size 830631809

IFN/distill/config.py

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+_base_ = [
+    '/home/liuziyuan/proj/rmcd-kd/configs/_base_/models/KD-ifn.py', 
+    '/home/liuziyuan/proj/rmcd-kd/configs/common/standard_512x512_200k_cgwx.py']
+
+dataset_type = 'LEVIR_CD_Dataset'
+data_root = '/nas/datasets/lzy/RS-ChangeDetection/CGWX'
+
+crop_size = (512, 512)
+
+checkpoint_student = '/nas/datasets/lzy/RS-ChangeDetection/checkpoints_distill/IFN/teacher_ckpt/initial/best_mIoU_iter_110000.pth'
+checkpoint_teacher_l = '/nas/datasets/lzy/RS-ChangeDetection/checkpoints_distill/IFN/teacher_ckpt/large/best_mIoU_iter_173000.pth'
+checkpoint_teacher_m = '/nas/datasets/lzy/RS-ChangeDetection/checkpoints_distill/IFN/teacher_ckpt/medium/best_mIoU_iter_7000.pth'
+checkpoint_teacher_s = '/nas/datasets/lzy/RS-ChangeDetection/checkpoints_distill/IFN/teacher_ckpt/small/best_mIoU_iter_145000.pth'
+
+model = dict(
+    # student
+    init_cfg=dict(type='Pretrained', checkpoint=checkpoint_student),
+    # teacher large    
+    init_cfg_t_l = dict(type='Pretrained', checkpoint=checkpoint_teacher_l),
+    # teacher medium    
+    init_cfg_t_m = dict(type='Pretrained', checkpoint=checkpoint_teacher_m),
+    # teacher small    
+    init_cfg_t_s = dict(type='Pretrained', checkpoint=checkpoint_teacher_s)
+)
+
+param_scheduler = [
+    dict(
+        type='LinearLR', start_factor=1e-6, by_epoch=False, begin=0, end=1000),
+    dict(
+        type='PolyLR',
+        power=1.0,
+        begin=1000,
+        end=100000,
+        eta_min=0.0,
+        by_epoch=False,
+    )
+]
+
+# training schedule for 100k
+train_cfg = dict(type='IterBasedTrainLoop', max_iters=100000, val_interval=1000)
+val_cfg = dict(type='ValLoop')
+test_cfg = dict(type='TestLoop')
+default_hooks = dict(
+    timer=dict(type='IterTimerHook'),
+    logger=dict(type='LoggerHook', interval=50, log_metric_by_epoch=False),
+    param_scheduler=dict(type='ParamSchedulerHook'),
+    checkpoint=dict(type='CheckpointHook', by_epoch=False, interval=1000,
+                    save_best='mIoU'),
+    sampler_seed=dict(type='DistSamplerSeedHook'),
+    visualization=dict(type='CDVisualizationHook', interval=1, 
+                       img_shape=(512, 512, 3)))

IFN/initial/best_mIoU_iter_110000.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c08a12b4ec775867d61cf4971c3f7a91838eefcad4376cace42fb5820b7ab37a
+size 225192561

IFN/initial/config.py

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+_base_ = [
+    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/_base_/models/ifn.py', 
+    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/common/standard_512x512_200k_cgwx.py']

IFN/large/best_mIoU_iter_173000.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f5c639fd180ad1d490523bf676e6bd88637d95a6d422dfc9bfbe88bc64cca103
+size 237871089

IFN/large/config.py

@@ -0,0 +1,29 @@
+_base_ = [
+    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/_base_/models/ifn.py', 
+    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/common/train_large_512x512_100k_cgwx.py']
+
+param_scheduler = [
+    dict(
+        type='LinearLR', start_factor=1e-6, by_epoch=False, begin=0, end=1000),
+    dict(
+        type='PolyLR',
+        power=1.0,
+        begin=1000,
+        end=200000,
+        eta_min=0.0,
+        by_epoch=False,
+    )
+]
+# training schedule for 100k
+train_cfg = dict(type='IterBasedTrainLoop', max_iters=200000, val_interval=1000)
+val_cfg = dict(type='ValLoop')
+test_cfg = dict(type='TestLoop')
+default_hooks = dict(
+    timer=dict(type='IterTimerHook'),
+    logger=dict(type='LoggerHook', interval=100, log_metric_by_epoch=False),
+    param_scheduler=dict(type='ParamSchedulerHook'),
+    checkpoint=dict(type='CheckpointHook', by_epoch=False, interval=1000,
+                    save_best='mIoU'),
+    sampler_seed=dict(type='DistSamplerSeedHook'),
+    visualization=dict(type='CDVisualizationHook', interval=1, 
+                       img_shape=(512, 512, 3)))

IFN/medium/best_mIoU_iter_7000.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:3cf95241699981f4100a3bc6cca71dfe67bc976c96373647e70657d3b1e6f42d
+size 204405809

IFN/medium/config.py

@@ -0,0 +1,29 @@
+_base_ = [
+    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/_base_/models/ifn.py', 
+    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/common/train_medium_512x512_100k_cgwx.py']
+
+param_scheduler = [
+    dict(
+        type='LinearLR', start_factor=1e-6, by_epoch=False, begin=0, end=1000),
+    dict(
+        type='PolyLR',
+        power=1.0,
+        begin=1000,
+        end=200000,
+        eta_min=0.0,
+        by_epoch=False,
+    )
+]
+# training schedule for 100k
+train_cfg = dict(type='IterBasedTrainLoop', max_iters=200000, val_interval=1000)
+val_cfg = dict(type='ValLoop')
+test_cfg = dict(type='TestLoop')
+default_hooks = dict(
+    timer=dict(type='IterTimerHook'),
+    logger=dict(type='LoggerHook', interval=100, log_metric_by_epoch=False),
+    param_scheduler=dict(type='ParamSchedulerHook'),
+    checkpoint=dict(type='CheckpointHook', by_epoch=False, interval=1000,
+                    save_best='mIoU'),
+    sampler_seed=dict(type='DistSamplerSeedHook'),
+    visualization=dict(type='CDVisualizationHook', interval=1, 
+                       img_shape=(512, 512, 3)))

IFN/small/best_mIoU_iter_145000.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b700377d58bc681cb5855024ed9cc310bdd04eabb433bf017c39b597601a044e
+size 232378097

IFN/small/config.py

@@ -0,0 +1,29 @@
+_base_ = [
+    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/_base_/models/ifn.py', 
+    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/common/train_small_512x512_100k_cgwx.py']
+
+param_scheduler = [
+    dict(
+        type='LinearLR', start_factor=1e-6, by_epoch=False, begin=0, end=1000),
+    dict(
+        type='PolyLR',
+        power=1.0,
+        begin=1000,
+        end=200000,
+        eta_min=0.0,
+        by_epoch=False,
+    )
+]
+# training schedule for 100k
+train_cfg = dict(type='IterBasedTrainLoop', max_iters=200000, val_interval=1000)
+val_cfg = dict(type='ValLoop')
+test_cfg = dict(type='TestLoop')
+default_hooks = dict(
+    timer=dict(type='IterTimerHook'),
+    logger=dict(type='LoggerHook', interval=100, log_metric_by_epoch=False),
+    param_scheduler=dict(type='ParamSchedulerHook'),
+    checkpoint=dict(type='CheckpointHook', by_epoch=False, interval=1000,
+                    save_best='mIoU'),
+    sampler_seed=dict(type='DistSamplerSeedHook'),
+    visualization=dict(type='CDVisualizationHook', interval=1, 
+                       img_shape=(512, 512, 3)))

LightCDNet/distill/best_mIoU_iter_168000.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3305c6b9725ca736020901db7de725b4b4789783c4179431c293c730ce31f4ea
+size 36647731

LightCDNet/distill/config.py

@@ -0,0 +1,65 @@
+_base_ = [
+    '/home/liuziyuan/proj/rmcd-kd/configs/_base_/models/KD-lightcdnet.py',
+    '/home/liuziyuan/proj/rmcd-kd/configs/common/standard_512x512_200k_cgwx.py']
+
+dataset_type = 'LEVIR_CD_Dataset'
+data_root = '/nas/datasets/lzy/RS-ChangeDetection/CGWX'
+
+crop_size = (512, 512)
+
+checkpoint_student = '/nas/datasets/lzy/RS-ChangeDetection/checkpoints_distill/LightCDNet/teacher_ckpt/initial/best_mIoU_iter_195000.pth'
+checkpoint_teacher_l = '/nas/datasets/lzy/RS-ChangeDetection/checkpoints_distill/LightCDNet/teacher_ckpt/large/best_mIoU_iter_185000.pth'
+checkpoint_teacher_m = '/nas/datasets/lzy/RS-ChangeDetection/checkpoints_distill/LightCDNet/teacher_ckpt/medium/best_mIoU_iter_199000.pth'
+checkpoint_teacher_s = '/nas/datasets/lzy/RS-ChangeDetection/checkpoints_distill/LightCDNet/teacher_ckpt/small/best_mIoU_iter_193000.pth'
+
+model = dict(
+    # student
+    init_cfg=dict(type='Pretrained', checkpoint=checkpoint_student),
+    # teacher large    
+    init_cfg_t_l = dict(type='Pretrained', checkpoint=checkpoint_teacher_l),
+    # teacher medium    
+    init_cfg_t_m = dict(type='Pretrained', checkpoint=checkpoint_teacher_m),
+    # teacher small    
+    init_cfg_t_s = dict(type='Pretrained', checkpoint=checkpoint_teacher_s),
+    
+    decode_head=dict(
+        sampler=dict(type='mmseg.OHEMPixelSampler', thresh=0.7, min_kept=100000)))
+
+# optimizer
+optimizer = dict(
+    type='AdamW',
+    lr=0.003,
+    betas=(0.9, 0.999),
+    weight_decay=0.05)
+
+optim_wrapper = dict(
+    _delete_=True,
+    type='OptimWrapper',
+    optimizer=optimizer)
+
+param_scheduler = [
+    dict(
+        type='LinearLR', start_factor=1e-6, by_epoch=False, begin=0, end=1000),
+    dict(
+        type='PolyLR',
+        power=1.0,
+        begin=1000,
+        end=100000,
+        eta_min=0.0,
+        by_epoch=False,
+    )
+]
+
+# training schedule for 100k
+train_cfg = dict(type='IterBasedTrainLoop', max_iters=100000, val_interval=1000)
+val_cfg = dict(type='ValLoop')
+test_cfg = dict(type='TestLoop')
+default_hooks = dict(
+    timer=dict(type='IterTimerHook'),
+    logger=dict(type='LoggerHook', interval=100, log_metric_by_epoch=False),
+    param_scheduler=dict(type='ParamSchedulerHook'),
+    checkpoint=dict(type='CheckpointHook', by_epoch=False, interval=1000,
+                    save_best='mIoU'),
+    sampler_seed=dict(type='DistSamplerSeedHook'),
+    visualization=dict(type='CDVisualizationHook', interval=1, 
+                       img_shape=(512, 512, 3)))

LightCDNet/initial/best_mIoU_iter_195000.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6470f753ab113e6f8e92eb11a57966d265d90b29eee60ce0e90250b58364a6c9
+size 30051619

LightCDNet/initial/config.py

@@ -0,0 +1,19 @@
+_base_ = [
+    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/_base_/models/lightcdnet.py',
+    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/common/standard_512x512_200k_cgwx.py']
+
+model = dict(
+    decode_head=dict(
+        sampler=dict(type='mmseg.OHEMPixelSampler', thresh=0.7, min_kept=100000)))
+
+# optimizer
+optimizer = dict(
+    type='AdamW',
+    lr=0.003,
+    betas=(0.9, 0.999),
+    weight_decay=0.05)
+
+optim_wrapper = dict(
+    _delete_=True,
+    type='OptimWrapper',
+    optimizer=optimizer)

LightCDNet/large/best_mIoU_iter_185000.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:70d1ec7952db963d61328bdd4c03da628b4ec4a4721baed71f35712fd6e5d2e9
+size 28566435

LightCDNet/large/config.py

@@ -0,0 +1,50 @@
+_base_ = [
+    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/_base_/models/lightcdnet.py',
+    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/common/train_large_512x512_100k_cgwx.py']
+
+dataset_type = 'LEVIR_CD_Dataset'
+data_root = '/nas/datasets/lzy/RS-ChangeDetection/CGWX'
+
+crop_size = (512, 512)
+
+model = dict(
+    decode_head=dict(
+        sampler=dict(type='mmseg.OHEMPixelSampler', thresh=0.7, min_kept=100000)))
+
+# optimizer
+optimizer = dict(
+    type='AdamW',
+    lr=0.003,
+    betas=(0.9, 0.999),
+    weight_decay=0.05)
+
+optim_wrapper = dict(
+    _delete_=True,
+    type='OptimWrapper',
+    optimizer=optimizer)
+
+param_scheduler = [
+    dict(
+        type='LinearLR', start_factor=1e-6, by_epoch=False, begin=0, end=1000),
+    dict(
+        type='PolyLR',
+        power=1.0,
+        begin=1000,
+        end=200000,
+        eta_min=0.0,
+        by_epoch=False,
+    )
+]
+# training schedule for 100k
+train_cfg = dict(type='IterBasedTrainLoop', max_iters=200000, val_interval=1000)
+val_cfg = dict(type='ValLoop')
+test_cfg = dict(type='TestLoop')
+default_hooks = dict(
+    timer=dict(type='IterTimerHook'),
+    logger=dict(type='LoggerHook', interval=50, log_metric_by_epoch=False),
+    param_scheduler=dict(type='ParamSchedulerHook'),
+    checkpoint=dict(type='CheckpointHook', by_epoch=False, interval=1000,
+                    save_best='mIoU'),
+    sampler_seed=dict(type='DistSamplerSeedHook'),
+    visualization=dict(type='CDVisualizationHook', interval=1, 
+                       img_shape=(512, 512, 3)))

LightCDNet/medium/best_mIoU_iter_199000.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9cd26bb4fb37f6083f0b5643db5295c82bfea948e45aabcc54b30181b5909e47
+size 30642147

LightCDNet/medium/config.py

@@ -0,0 +1,45 @@
+_base_ = [
+    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/_base_/models/lightcdnet.py',
+    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/common/train_medium_512x512_100k_cgwx.py']
+
+model = dict(
+    decode_head=dict(
+        sampler=dict(type='mmseg.OHEMPixelSampler', thresh=0.7, min_kept=100000)))
+
+# optimizer
+optimizer = dict(
+    type='AdamW',
+    lr=0.003,
+    betas=(0.9, 0.999),
+    weight_decay=0.05)
+
+optim_wrapper = dict(
+    _delete_=True,
+    type='OptimWrapper',
+    optimizer=optimizer)
+
+param_scheduler = [
+    dict(
+        type='LinearLR', start_factor=1e-6, by_epoch=False, begin=0, end=1000),
+    dict(
+        type='PolyLR',
+        power=1.0,
+        begin=1000,
+        end=200000,
+        eta_min=0.0,
+        by_epoch=False,
+    )
+]
+# training schedule for 100k
+train_cfg = dict(type='IterBasedTrainLoop', max_iters=200000, val_interval=1000)
+val_cfg = dict(type='ValLoop')
+test_cfg = dict(type='TestLoop')
+default_hooks = dict(
+    timer=dict(type='IterTimerHook'),
+    logger=dict(type='LoggerHook', interval=50, log_metric_by_epoch=False),
+    param_scheduler=dict(type='ParamSchedulerHook'),
+    checkpoint=dict(type='CheckpointHook', by_epoch=False, interval=1000,
+                    save_best='mIoU'),
+    sampler_seed=dict(type='DistSamplerSeedHook'),
+    visualization=dict(type='CDVisualizationHook', interval=1, 
+                       img_shape=(512, 512, 3)))

LightCDNet/small/best_mIoU_iter_193000.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d593f4c65819f287d4d5de18a1786470a418f1129ad034989239e879f931346c
+size 30034275

LightCDNet/small/config.py

@@ -0,0 +1,45 @@
+_base_ = [
+    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/_base_/models/lightcdnet.py',
+    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/common/train_small_512x512_100k_cgwx.py']
+
+model = dict(
+    decode_head=dict(
+        sampler=dict(type='mmseg.OHEMPixelSampler', thresh=0.7, min_kept=100000)))
+
+# optimizer
+optimizer = dict(
+    type='AdamW',
+    lr=0.003,
+    betas=(0.9, 0.999),
+    weight_decay=0.05)
+
+optim_wrapper = dict(
+    _delete_=True,
+    type='OptimWrapper',
+    optimizer=optimizer)
+
+param_scheduler = [
+    dict(
+        type='LinearLR', start_factor=1e-6, by_epoch=False, begin=0, end=1000),
+    dict(
+        type='PolyLR',
+        power=1.0,
+        begin=1000,
+        end=200000,
+        eta_min=0.0,
+        by_epoch=False,
+    )
+]
+# training schedule for 100k
+train_cfg = dict(type='IterBasedTrainLoop', max_iters=200000, val_interval=1000)
+val_cfg = dict(type='ValLoop')
+test_cfg = dict(type='TestLoop')
+default_hooks = dict(
+    timer=dict(type='IterTimerHook'),
+    logger=dict(type='LoggerHook', interval=50, log_metric_by_epoch=False),
+    param_scheduler=dict(type='ParamSchedulerHook'),
+    checkpoint=dict(type='CheckpointHook', by_epoch=False, interval=1000,
+                    save_best='mIoU'),
+    sampler_seed=dict(type='DistSamplerSeedHook'),
+    visualization=dict(type='CDVisualizationHook', interval=1, 
+                       img_shape=(512, 512, 3)))

SNUNet/distill/best_mIoU_iter_88000.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:1b4f63d2f042225e9c0bc5e4a0916f5f40c0c0536802b5dca35f3d1fd917863a
+size 60162785

SNUNet/distill/config.py

@@ -0,0 +1,51 @@
+_base_ = [
+    '/home/liuziyuan/proj/rmcd-kd/configs/_base_/models/KD-snunet_c16.py',
+    '/home/liuziyuan/proj/rmcd-kd/configs/common/standard_512x512_200k_cgwx.py']
+
+dataset_type = 'LEVIR_CD_Dataset'
+data_root = '/nas/datasets/lzy/RS-ChangeDetection/CGWX'
+
+crop_size = (512, 512)
+
+checkpoint_student = '/nas/datasets/lzy/RS-ChangeDetection/checkpoints_distill/SNUNet/teacher_ckpt/initial/best_mIoU_iter_160000.pth'
+checkpoint_teacher_l = '/nas/datasets/lzy/RS-ChangeDetection/checkpoints_distill/SNUNet/teacher_ckpt/large/best_mIoU_iter_62000.pth'
+checkpoint_teacher_m = '/nas/datasets/lzy/RS-ChangeDetection/checkpoints_distill/SNUNet/teacher_ckpt/medium/best_mIoU_iter_20000.pth'
+checkpoint_teacher_s = '/nas/datasets/lzy/RS-ChangeDetection/checkpoints_distill/SNUNet/teacher_ckpt/small/best_mIoU_iter_177000.pth'
+
+model = dict(
+    # student
+    init_cfg=dict(type='Pretrained', checkpoint=checkpoint_student),
+    # teacher large    
+    init_cfg_t_l = dict(type='Pretrained', checkpoint=checkpoint_teacher_l),
+    # teacher medium    
+    init_cfg_t_m = dict(type='Pretrained', checkpoint=checkpoint_teacher_m),
+    # teacher small    
+    init_cfg_t_s = dict(type='Pretrained', checkpoint=checkpoint_teacher_s),
+    )
+
+param_scheduler = [
+    dict(
+        type='LinearLR', start_factor=1e-6, by_epoch=False, begin=0, end=1000),
+    dict(
+        type='PolyLR',
+        power=1.0,
+        begin=1000,
+        end=100000,
+        eta_min=0.0,
+        by_epoch=False,
+    )
+]
+
+# training schedule for 100k
+train_cfg = dict(type='IterBasedTrainLoop', max_iters=100000, val_interval=1000)
+val_cfg = dict(type='ValLoop')
+test_cfg = dict(type='TestLoop')
+default_hooks = dict(
+    timer=dict(type='IterTimerHook'),
+    logger=dict(type='LoggerHook', interval=100, log_metric_by_epoch=False),
+    param_scheduler=dict(type='ParamSchedulerHook'),
+    checkpoint=dict(type='CheckpointHook', by_epoch=False, interval=1000,
+                    save_best='mIoU'),
+    sampler_seed=dict(type='DistSamplerSeedHook'),
+    visualization=dict(type='CDVisualizationHook', interval=1, 
+                       img_shape=(512, 512, 3)))

SNUNet/initial/best_mIoU_iter_160000.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fa67db15e5c8464c23a9414b3346d3bfa30e01521f061dc39b74026f23167452
+size 29803689

SNUNet/initial/config.py

@@ -0,0 +1,9 @@
+_base_ = [
+    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/_base_/models/snunet_c16.py',
+    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/common/standard_512x512_200k_cgwx.py']
+
+
+dataset_type = 'LEVIR_CD_Dataset'
+data_root = '/nas/datasets/lzy/RS-ChangeDetection/CGWX'
+
+crop_size = (512, 512)

SNUNet/large/best_mIoU_iter_62000.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0de5306faf18bb1647f429425ee576b0fdc47b33e15d0f3e029700c522ee471e
+size 19018217

SNUNet/large/config.py

@@ -0,0 +1,34 @@
+_base_ = [
+    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/_base_/models/snunet_c16.py',
+    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/common/train_large_512x512_100k_cgwx.py']
+
+dataset_type = 'LEVIR_CD_Dataset'
+data_root = '/nas/datasets/lzy/RS-ChangeDetection/CGWX'
+
+crop_size = (512, 512)
+
+param_scheduler = [
+    dict(
+        type='LinearLR', start_factor=1e-6, by_epoch=False, begin=0, end=1000),
+    dict(
+        type='PolyLR',
+        power=1.0,
+        begin=1000,
+        end=200000,
+        eta_min=0.0,
+        by_epoch=False,
+    )
+]
+
+# training schedule for 100k
+train_cfg = dict(type='IterBasedTrainLoop', max_iters=200000, val_interval=1000)
+
+default_hooks = dict(
+    timer=dict(type='IterTimerHook'),
+    logger=dict(type='LoggerHook', interval=100, log_metric_by_epoch=False),
+    param_scheduler=dict(type='ParamSchedulerHook'),
+    checkpoint=dict(type='CheckpointHook', by_epoch=False, interval=1000,
+                    save_best='mIoU'),
+    sampler_seed=dict(type='DistSamplerSeedHook'),
+    visualization=dict(type='CDVisualizationHook', interval=1, 
+                       img_shape=(512, 512, 3)))

SNUNet/medium/best_mIoU_iter_20000.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a5885437deb56fcb0d882c319422809bfd90306b3941f609c3a4d983fca40d4e
+size 14375209

SNUNet/medium/config.py

@@ -0,0 +1,34 @@
+_base_ = [
+    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/_base_/models/snunet_c16.py',
+    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/common/train_medium_512x512_100k_cgwx.py']
+
+dataset_type = 'LEVIR_CD_Dataset'
+data_root = '/nas/datasets/lzy/RS-ChangeDetection/CGWX'
+
+crop_size = (512, 512)
+
+param_scheduler = [
+    dict(
+        type='LinearLR', start_factor=1e-6, by_epoch=False, begin=0, end=1000),
+    dict(
+        type='PolyLR',
+        power=1.0,
+        begin=1000,
+        end=200000,
+        eta_min=0.0,
+        by_epoch=False,
+    )
+]
+
+# training schedule for 100k
+train_cfg = dict(type='IterBasedTrainLoop', max_iters=200000, val_interval=1000)
+
+default_hooks = dict(
+    timer=dict(type='IterTimerHook'),
+    logger=dict(type='LoggerHook', interval=100, log_metric_by_epoch=False),
+    param_scheduler=dict(type='ParamSchedulerHook'),
+    checkpoint=dict(type='CheckpointHook', by_epoch=False, interval=1000,
+                    save_best='mIoU'),
+    sampler_seed=dict(type='DistSamplerSeedHook'),
+    visualization=dict(type='CDVisualizationHook', interval=1, 
+                       img_shape=(512, 512, 3)))

SNUNet/small/best_mIoU_iter_177000.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6d32a1f1a42d4a25947a469164e1dd6e340e1d7a128f01c2dd7fcb22e6479640
+size 31962025

SNUNet/small/config.py

@@ -0,0 +1,34 @@
+_base_ = [
+    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/_base_/models/snunet_c16.py',
+    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/common/train_small_512x512_100k_cgwx.py']
+
+dataset_type = 'LEVIR_CD_Dataset'
+data_root = '/nas/datasets/lzy/RS-ChangeDetection/CGWX'
+
+crop_size = (512, 512)
+
+param_scheduler = [
+    dict(
+        type='LinearLR', start_factor=1e-6, by_epoch=False, begin=0, end=1000),
+    dict(
+        type='PolyLR',
+        power=1.0,
+        begin=1000,
+        end=200000,
+        eta_min=0.0,
+        by_epoch=False,
+    )
+]
+
+# training schedule for 100k
+train_cfg = dict(type='IterBasedTrainLoop', max_iters=200000, val_interval=1000)
+
+default_hooks = dict(
+    timer=dict(type='IterTimerHook'),
+    logger=dict(type='LoggerHook', interval=100, log_metric_by_epoch=False),
+    param_scheduler=dict(type='ParamSchedulerHook'),
+    checkpoint=dict(type='CheckpointHook', by_epoch=False, interval=1000,
+                    save_best='mIoU'),
+    sampler_seed=dict(type='DistSamplerSeedHook'),
+    visualization=dict(type='CDVisualizationHook', interval=1, 
+                       img_shape=(512, 512, 3)))

STANet/distill/best_mIoU_iter_46000.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:09117953d2d974b3a8aea59afd285967ddafde8099c0eb616cd941c89f9ae3cb
+size 210657729

STANet/distill/config.py

@@ -0,0 +1,51 @@
+_base_ = [
+    '/home/liuziyuan/proj/rmcd-kd/configs/_base_/models/KD-stanet_r18.py',
+    '/home/liuziyuan/proj/rmcd-kd/configs/common/standard_512x512_200k_cgwx.py']
+
+crop_size = (512, 512)
+
+checkpoint_student = '/nas/datasets/lzy/RS-ChangeDetection/checkpoints_distill/STANet/teacher_ckpt/initial/best_mIoU_iter_130000.pth'
+checkpoint_teacher_l = '/nas/datasets/lzy/RS-ChangeDetection/checkpoints_distill/STANet/teacher_ckpt/large/best_mIoU_iter_24000.pth'
+checkpoint_teacher_m = '/nas/datasets/lzy/RS-ChangeDetection/checkpoints_distill/STANet/teacher_ckpt/medium/best_mIoU_iter_28000.pth'
+checkpoint_teacher_s = '/nas/datasets/lzy/RS-ChangeDetection/checkpoints_distill/STANet/teacher_ckpt/small/best_mIoU_iter_172000.pth'
+
+model = dict(
+    # student
+    init_cfg=dict(type='Pretrained', checkpoint=checkpoint_student),
+    # teacher large    
+    init_cfg_t_l = dict(type='Pretrained', checkpoint=checkpoint_teacher_l),
+    # teacher medium    
+    init_cfg_t_m = dict(type='Pretrained', checkpoint=checkpoint_teacher_m),
+    # teacher small    
+    init_cfg_t_s = dict(type='Pretrained', checkpoint=checkpoint_teacher_s),
+
+    decode_head=dict(sa_mode='None'),
+    test_cfg=dict(mode='slide', crop_size=crop_size, stride=(crop_size[0]//2, crop_size[1]//2)),
+    )
+
+param_scheduler = [
+    dict(
+        type='LinearLR', start_factor=1e-6, by_epoch=False, begin=0, end=1000),
+    dict(
+        type='PolyLR',
+        power=1.0,
+        begin=1000,
+        end=100000,
+        eta_min=0.0,
+        by_epoch=False,
+    )
+]
+
+# training schedule for 100k
+train_cfg = dict(type='IterBasedTrainLoop', max_iters=100000, val_interval=1000)
+val_cfg = dict(type='ValLoop')
+test_cfg = dict(type='TestLoop')
+default_hooks = dict(
+    timer=dict(type='IterTimerHook'),
+    logger=dict(type='LoggerHook', interval=100, log_metric_by_epoch=False),
+    param_scheduler=dict(type='ParamSchedulerHook'),
+    checkpoint=dict(type='CheckpointHook', by_epoch=False, interval=1000,
+                    save_best='mIoU'),
+    sampler_seed=dict(type='DistSamplerSeedHook'),
+    visualization=dict(type='CDVisualizationHook', interval=1, 
+                       img_shape=(512, 512, 3)))

STANet/initial/best_mIoU_iter_130000.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:377b9b8ab2e7b1bdeb87e33f8271b3f748353e598feec8ec6349d4d5a8cb47a7
+size 65487473

STANet/initial/config.py

@@ -0,0 +1,9 @@
+_base_ = [
+    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/_base_/models/stanet_r18.py',
+    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/common/standard_512x512_200k_cgwx.py']
+
+crop_size = (512, 512)
+model = dict(
+    decode_head=dict(sa_mode='None'),
+    test_cfg=dict(mode='slide', crop_size=crop_size, stride=(crop_size[0]//2, crop_size[1]//2)),
+    )

STANet/large/best_mIoU_iter_24000.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:08fe19b1b6cee64cddcff6618014002084a006ec00f925988da2037e600d7ade
+size 53818545

STANet/large/config.py

@@ -0,0 +1,36 @@
+_base_ = [
+    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/_base_/models/stanet_r18.py',
+    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/common/train_large_512x512_100k_cgwx.py']
+
+crop_size = (512, 512)
+
+model = dict(
+    decode_head=dict(sa_mode='None'),
+    test_cfg=dict(mode='slide', crop_size=crop_size, stride=(crop_size[0]//2, crop_size[1]//2)),
+    )
+
+param_scheduler = [
+    dict(
+        type='LinearLR', start_factor=1e-6, by_epoch=False, begin=0, end=1000),
+    dict(
+        type='PolyLR',
+        power=1.0,
+        begin=1000,
+        end=200000,
+        eta_min=0.0,
+        by_epoch=False,
+    )
+]
+# training schedule for 100k
+train_cfg = dict(type='IterBasedTrainLoop', max_iters=200000, val_interval=1000)
+val_cfg = dict(type='ValLoop')
+test_cfg = dict(type='TestLoop')
+default_hooks = dict(
+    timer=dict(type='IterTimerHook'),
+    logger=dict(type='LoggerHook', interval=100, log_metric_by_epoch=False),
+    param_scheduler=dict(type='ParamSchedulerHook'),
+    checkpoint=dict(type='CheckpointHook', by_epoch=False, interval=1000,
+                    save_best='mIoU'),
+    sampler_seed=dict(type='DistSamplerSeedHook'),
+    visualization=dict(type='CDVisualizationHook', interval=1, 
+                       img_shape=(512, 512, 3)))

STANet/medium/best_mIoU_iter_28000.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bcdaf3ed0d8202bf0a853bb84f144925833799381e2a25d1059bc85cf0e14846
+size 54268657

STANet/medium/config.py

@@ -0,0 +1,36 @@
+_base_ = [
+    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/_base_/models/stanet_r18.py',
+    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/common/train_medium_512x512_100k_cgwx.py']
+
+crop_size = (512, 512)
+
+model = dict(
+    decode_head=dict(sa_mode='None'),
+    test_cfg=dict(mode='slide', crop_size=crop_size, stride=(crop_size[0]//2, crop_size[1]//2)),
+    )
+
+param_scheduler = [
+    dict(
+        type='LinearLR', start_factor=1e-6, by_epoch=False, begin=0, end=1000),
+    dict(
+        type='PolyLR',
+        power=1.0,
+        begin=1000,
+        end=200000,
+        eta_min=0.0,
+        by_epoch=False,
+    )
+]
+# training schedule for 100k
+train_cfg = dict(type='IterBasedTrainLoop', max_iters=200000, val_interval=1000)
+val_cfg = dict(type='ValLoop')
+test_cfg = dict(type='TestLoop')
+default_hooks = dict(
+    timer=dict(type='IterTimerHook'),
+    logger=dict(type='LoggerHook', interval=100, log_metric_by_epoch=False),
+    param_scheduler=dict(type='ParamSchedulerHook'),
+    checkpoint=dict(type='CheckpointHook', by_epoch=False, interval=1000,
+                    save_best='mIoU'),
+    sampler_seed=dict(type='DistSamplerSeedHook'),
+    visualization=dict(type='CDVisualizationHook', interval=1, 
+                       img_shape=(512, 512, 3)))

STANet/small/best_mIoU_iter_172000.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b4ac8a22ab0982ba959ef6409f7becda8c1f609411f90ece2ddaad379cbe52f4
+size 70357297

STANet/small/config.py

@@ -0,0 +1,36 @@
+_base_ = [
+    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/_base_/models/stanet_r18.py',
+    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/common/train_small_512x512_100k_cgwx.py']
+
+crop_size = (512, 512)
+
+model = dict(
+    decode_head=dict(sa_mode='None'),
+    test_cfg=dict(mode='slide', crop_size=crop_size, stride=(crop_size[0]//2, crop_size[1]//2)),
+    )
+
+param_scheduler = [
+    dict(
+        type='LinearLR', start_factor=1e-6, by_epoch=False, begin=0, end=1000),
+    dict(
+        type='PolyLR',
+        power=1.0,
+        begin=1000,
+        end=200000,
+        eta_min=0.0,
+        by_epoch=False,
+    )
+]
+# training schedule for 100k
+train_cfg = dict(type='IterBasedTrainLoop', max_iters=200000, val_interval=1000)
+val_cfg = dict(type='ValLoop')
+test_cfg = dict(type='TestLoop')
+default_hooks = dict(
+    timer=dict(type='IterTimerHook'),
+    logger=dict(type='LoggerHook', interval=100, log_metric_by_epoch=False),
+    param_scheduler=dict(type='ParamSchedulerHook'),
+    checkpoint=dict(type='CheckpointHook', by_epoch=False, interval=1000,
+                    save_best='mIoU'),
+    sampler_seed=dict(type='DistSamplerSeedHook'),
+    visualization=dict(type='CDVisualizationHook', interval=1, 
+                       img_shape=(512, 512, 3)))