first commit

.gitignore

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+__pycache__
+*.ipynb
+.ipynb_checkpoints

README.md

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+# C-3PO
+
+This is the official Pytorch implementation for [How to Reduce Change Detection to Semantic Segmentation](https://arxiv.org/abs/2206.07557). 
+
+Overall, we present a new paradigm that reduces change detection to semantic segmentation which means tailoring an existing and powerful semantic segmentation network to solve change detection.
+
+![reduce](imgs/reduce.jpg "reduce")
+
+Our analysis suggests that there are three possible change types within the change detection task and they should be learned separately. Therefore, we propose a MTF (Merge Temporal Features ) module to learn these changes.
+
+![changes](imgs/changes.jpg "changes")
+
+We propose a simple but effective network, called C-3PO (Combine 3 POssible change types), detects changes in pixel-level, and can be considered as a new baseline network in this field.
+
+![C-3PO](imgs/C3PO.jpg "C-3PO")
+
+![MTF](imgs/MTF.jpg "MTF")
+
+![MSF](imgs/MSF.jpg "MSF")
+
+## Requirements
+
+* Python3
+* PyTorch
+* Torchvision
+* pycocotools
+* timm
+
+`Python3`, `Pytorch` and `Torchvision` are necessary. `pycocotools` is required for the `COCO` dataset. `timm` is required for the `Swin Transformer` backbone. 
+
+If you want to use `CSCDNet` in our project, please follow their [instructions](https://github.com/kensakurada/sscdnet) to install the `correlation` module.
+
+## Prepare the dataset
+
+There are three datasets needed in this projects:
+* COCO
+* PCD
+* VL-CMU-CD
+* ChangeSim
+
+Please refer to `src/dataset/path_config.py` to understand the folder structure of each dataset. And edit `data_path` according to your system.
+
+Please follow this [site](https://kensakurada.github.io/pcd_dataset.html) to download the PCD dataset. You may need to send e-mails to Takayuki Okatani.
+
+You can download VL-CMU-CD by this [link](https://drive.google.com/file/d/0B-IG2NONFdciOWY5QkQ3OUgwejQ/view?resourcekey=0-rEzCjPFmDFjt4UMWamV4Eg).
+
+Please follow this [page](https://github.com/SAMMiCA/ChangeSim) to prepare the ChangeSim dataset.
+
+## Run
+
+**training**
+```
+python3 -m torch.distributed.launch --nproc_per_node=4 --use_env src/train.py --train-dataset VL_CMU_CD --test-dataset VL_CMU_CD --input-size 512 --model resnet18_mtf_msf_fcn --mtf id --msf 4 --warmup --loss-weight
+```
+
+**testing**
+```
+python3 src/train.py --test-only --model resnet18_mtf_msf_fcn --mtf id --msf 4 --train-dataset VL_CMU_CD --test-dataset VL_CMU_CD --input-size 512 --resume [checkpoint.pth]
+```
+
+We provide all shells to reproduce the results in our paper. Please check files in the `exp` folder. You can use below commands to run experiments.
+
+```
+source exp/sota/resnet18_mtf_id_msf4_deeplabv3_cmu.sh
+train
+```
+
+## Visualization
+
+![CMU](imgs/CMU.png "CMU")
+
+## Citation
+
+If you find the work useful for your research, please cite:
+
+```
+@article{wang2022c3po,
+  title={How to Reduce Change Detection to Semantic Segmentation},
+  author={Wang, Guo-Hua and Gao, Bin-Bin and Wang, Chengjie},
+  journal={Pattern Recognition},
+  year={2023}
+}
+```
+
+## reference
+
+* https://github.com/pytorch/vision/tree/main/references/segmentation
+* https://github.com/kensakurada/sscdnet
+* https://github.com/rcdaudt/fully_convolutional_change_detection
+* https://github.com/leonardoaraujosantos/ChangeNet
+* https://github.com/SAMMiCA/ChangeSim
+

exp/augment/resnet18_mtf_iade_msf4_pcd_crop.sh

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+#!/bin/bash
+
+train="python3 -m torch.distributed.launch --nproc_per_node=4 --use_env src/train.py --train-dataset PCD_CV_woRot --test-dataset GSV --test-dataset2 TSUNAMI --data-cv 0 --input-size 256 --randomflip 0 --randomcrop --model resnet18_mtf_msf_fcn --mtf iade --msf 4 --warmup --loss bi --loss-weight"
+
+test="python3 src/train.py --test-only --save-imgs --model resnet18_mtf_msf_fcn --mtf iade --msf 4 --train-dataset PCD_CV --test-dataset TSUNAMI --data-cv 0 --input-size 256 --resume output/deeplabv3_bi_fpn4_bdae_vgg16bn_PCD_CV_0_256/2021-10-02_10:58:34/best.pth"
+
+

exp/augment/resnet18_mtf_iade_msf4_pcd_flip.sh

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+#!/bin/bash
+
+train="python3 -m torch.distributed.launch --nproc_per_node=4 --use_env src/train.py --train-dataset PCD_CV_woRot --test-dataset GSV --test-dataset2 TSUNAMI --data-cv 0 --input-size 256 --randomflip 0.5 --model resnet18_mtf_msf_fcn --mtf iade --msf 4 --warmup --loss bi --loss-weight"
+
+test="python3 src/train.py --test-only --save-imgs --model resnet18_mtf_msf_fcn --mtf iade --msf 4 --train-dataset PCD_CV --test-dataset TSUNAMI --data-cv 0 --input-size 256 --resume output/deeplabv3_bi_fpn4_bdae_vgg16bn_PCD_CV_0_256/2021-10-02_10:58:34/best.pth"
+
+

exp/augment/resnet18_mtf_iade_msf4_pcd_flip_crop.sh

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+#!/bin/bash
+
+train="python3 -m torch.distributed.launch --nproc_per_node=4 --use_env src/train.py --train-dataset PCD_CV_woRot --test-dataset GSV --test-dataset2 TSUNAMI --data-cv 0 --input-size 256 --randomflip 0.5 --randomcrop --model resnet18_mtf_msf_fcn --mtf iade --msf 4 --warmup --loss bi --loss-weight"
+
+test="python3 src/train.py --test-only --save-imgs --model resnet18_mtf_msf_fcn --mtf iade --msf 4 --train-dataset PCD_CV --test-dataset TSUNAMI --data-cv 0 --input-size 256 --resume output/deeplabv3_bi_fpn4_bdae_vgg16bn_PCD_CV_0_256/2021-10-02_10:58:34/best.pth"
+
+

exp/augment/resnet18_mtf_iade_msf4_pcd_none.sh

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+#!/bin/bash
+
+train="python3 -m torch.distributed.launch --nproc_per_node=4 --use_env src/train.py --train-dataset PCD_CV_woRot --test-dataset GSV --test-dataset2 TSUNAMI --data-cv 0 --input-size 256 --randomflip 0 --model resnet18_mtf_msf_fcn --mtf iade --msf 4 --warmup --loss bi --loss-weight"
+
+test="python3 src/train.py --test-only --save-imgs --model resnet18_mtf_msf_fcn --mtf iade --msf 4 --train-dataset PCD_CV --test-dataset TSUNAMI --data-cv 0 --input-size 256 --resume output/deeplabv3_bi_fpn4_bdae_vgg16bn_PCD_CV_0_256/2021-10-02_10:58:34/best.pth"
+
+

exp/augment/resnet18_mtf_iade_msf4_pcd_rot.sh

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+#!/bin/bash
+
+train="python3 -m torch.distributed.launch --nproc_per_node=4 --use_env src/train.py --train-dataset PCD_CV --test-dataset GSV --test-dataset2 TSUNAMI --data-cv 0 --input-size 256 --randomflip 0 --model resnet18_mtf_msf_fcn --mtf iade --msf 4 --warmup --loss bi --loss-weight"
+
+test="python3 src/train.py --test-only --save-imgs --model resnet18_mtf_msf_fcn --mtf iade --msf 4 --train-dataset PCD_CV --test-dataset TSUNAMI --data-cv 0 --input-size 256 --resume output/deeplabv3_bi_fpn4_bdae_vgg16bn_PCD_CV_0_256/2021-10-02_10:58:34/best.pth"
+
+

exp/augment/resnet18_mtf_iade_msf4_pcd_rot_crop.sh

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+#!/bin/bash
+
+train="python3 -m torch.distributed.launch --nproc_per_node=4 --use_env src/train.py --train-dataset PCD_CV --test-dataset GSV --test-dataset2 TSUNAMI --data-cv 0 --input-size 256 --randomflip 0 --randomcrop --model resnet18_mtf_msf_fcn --mtf iade --msf 4 --warmup --loss bi --loss-weight"
+
+test="python3 src/train.py --test-only --save-imgs --model resnet18_mtf_msf_fcn --mtf iade --msf 4 --train-dataset PCD_CV --test-dataset TSUNAMI --data-cv 0 --input-size 256 --resume output/deeplabv3_bi_fpn4_bdae_vgg16bn_PCD_CV_0_256/2021-10-02_10:58:34/best.pth"
+
+

exp/augment/resnet18_mtf_iade_msf4_pcd_rot_flip_crop.sh

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+#!/bin/bash
+
+train="python3 -m torch.distributed.launch --nproc_per_node=4 --use_env src/train.py --train-dataset PCD_CV --test-dataset GSV --test-dataset2 TSUNAMI --data-cv 0 --input-size 256 --randomflip 0.5 --randomcrop --model resnet18_mtf_msf_fcn --mtf iade --msf 4 --warmup --loss bi --loss-weight"
+
+test="python3 src/train.py --test-only --save-imgs --model resnet18_mtf_msf_fcn --mtf iade --msf 4 --train-dataset PCD_CV --test-dataset TSUNAMI --data-cv 0 --input-size 256 --resume output/deeplabv3_bi_fpn4_bdae_vgg16bn_PCD_CV_0_256/2021-10-02_10:58:34/best.pth"
+
+

exp/augment/resnet18_mtf_id_msf4_cmu_crop.sh

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+#!/bin/bash
+
+train="python3 -m torch.distributed.launch --nproc_per_node=4 --use_env src/train.py --train-dataset VL_CMU_CD_Raw --test-dataset VL_CMU_CD_Raw --input-size 512 --randomflip 0 --randomcrop --model resnet18_mtf_msf_fcn --mtf id --msf 4 --warmup --loss bi --loss-weight"
+
+test="python3 src/train.py --test-only --save-imgs --model resnet18_mtf_msf_fcn --mtf id --msf 4 --train-dataset VL_CMU_CD_Raw --test-dataset VL_CMU_CD_Raw --input-size 512 --resume output/deeplabv3_bi_fpn4_bdae_vgg16bn_PCD_CV_0_256/2021-10-02_10:58:34/best.pth"
+
+

exp/augment/resnet18_mtf_id_msf4_cmu_flip.sh

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+#!/bin/bash
+
+train="python3 -m torch.distributed.launch --nproc_per_node=4 --use_env src/train.py --train-dataset VL_CMU_CD_Raw --test-dataset VL_CMU_CD_Raw --input-size 512 --randomflip 0.5 --model resnet18_mtf_msf_fcn --mtf id --msf 4 --warmup --loss bi --loss-weight"
+
+test="python3 src/train.py --test-only --save-imgs --model resnet18_mtf_msf_fcn --mtf id --msf 4 --train-dataset VL_CMU_CD_Raw --test-dataset VL_CMU_CD_Raw --input-size 512 --resume output/deeplabv3_bi_fpn4_bdae_vgg16bn_PCD_CV_0_256/2021-10-02_10:58:34/best.pth"
+
+

exp/augment/resnet18_mtf_id_msf4_cmu_flip_crop.sh

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+#!/bin/bash
+
+train="python3 -m torch.distributed.launch --nproc_per_node=4 --use_env src/train.py --train-dataset VL_CMU_CD_Raw --test-dataset VL_CMU_CD_Raw --input-size 512 --randomflip 0.5 --randomcrop --model resnet18_mtf_msf_fcn --mtf id --msf 4 --warmup --loss bi --loss-weight"
+
+test="python3 src/train.py --test-only --save-imgs --model resnet18_mtf_msf_fcn --mtf id --msf 4 --train-dataset VL_CMU_CD_Raw --test-dataset VL_CMU_CD_Raw --input-size 512 --resume output/deeplabv3_bi_fpn4_bdae_vgg16bn_PCD_CV_0_256/2021-10-02_10:58:34/best.pth"
+
+

exp/augment/resnet18_mtf_id_msf4_cmu_none.sh

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+#!/bin/bash
+
+train="python3 -m torch.distributed.launch --nproc_per_node=4 --use_env src/train.py --train-dataset VL_CMU_CD_Raw --test-dataset VL_CMU_CD_Raw --input-size 512 --randomflip 0 --model resnet18_mtf_msf_fcn --mtf id --msf 4 --warmup --loss bi --loss-weight"
+
+test="python3 src/train.py --test-only --save-imgs --model resnet18_mtf_msf_fcn --mtf id --msf 4 --train-dataset VL_CMU_CD_Raw --test-dataset VL_CMU_CD_Raw --input-size 512 --resume output/deeplabv3_bi_fpn4_bdae_vgg16bn_PCD_CV_0_256/2021-10-02_10:58:34/best.pth"
+
+

exp/augment/resnet18_mtf_id_msf4_cmu_rot.sh

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+#!/bin/bash
+
+train="python3 -m torch.distributed.launch --nproc_per_node=4 --use_env src/train.py --train-dataset VL_CMU_CD --test-dataset VL_CMU_CD --input-size 512 --randomflip 0 --model resnet18_mtf_msf_fcn --mtf id --msf 4 --warmup --loss bi --loss-weight"
+
+test="python3 src/train.py --test-only --save-imgs --model resnet18_mtf_msf_fcn --mtf id --msf 4 --train-dataset VL_CMU_CD --test-dataset VL_CMU_CD --input-size 512 --resume output/deeplabv3_bi_fpn4_bdae_vgg16bn_PCD_CV_0_256/2021-10-02_10:58:34/best.pth"
+
+

exp/augment/resnet18_mtf_id_msf4_cmu_rot_crop.sh

@@ -0,0 +1,7 @@
+#!/bin/bash
+
+train="python3 -m torch.distributed.launch --nproc_per_node=4 --use_env src/train.py --train-dataset VL_CMU_CD --test-dataset VL_CMU_CD --input-size 512 --randomflip 0 --randomcrop --model resnet18_mtf_msf_fcn --mtf id --msf 4 --warmup --loss bi --loss-weight"
+
+test="python3 src/train.py --test-only --save-imgs --model resnet18_mtf_msf_fcn --mtf id --msf 4 --train-dataset VL_CMU_CD --test-dataset VL_CMU_CD --input-size 512 --resume output/deeplabv3_bi_fpn4_bdae_vgg16bn_PCD_CV_0_256/2021-10-02_10:58:34/best.pth"
+
+

exp/augment/resnet18_mtf_id_msf4_cmu_rot_flip_crop.sh

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+#!/bin/bash
+
+train="python3 -m torch.distributed.launch --nproc_per_node=4 --use_env src/train.py --train-dataset VL_CMU_CD --test-dataset VL_CMU_CD --input-size 512 --randomflip 0.5 --randomcrop --model resnet18_mtf_msf_fcn --mtf id --msf 4 --warmup --loss bi --loss-weight"
+
+test="python3 src/train.py --test-only --save-imgs --model resnet18_mtf_msf_fcn --mtf id --msf 4 --train-dataset VL_CMU_CD --test-dataset VL_CMU_CD --input-size 512 --resume output/deeplabv3_bi_fpn4_bdae_vgg16bn_PCD_CV_0_256/2021-10-02_10:58:34/best.pth"
+
+

exp/branch/resnet18_mtf_a_msf4_deeplabv3_cmu.sh

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+#!/bin/bash
+
+train="python3 -m torch.distributed.launch --nproc_per_node=4 --use_env src/train.py --train-dataset VL_CMU_CD --test-dataset VL_CMU_CD --input-size 512 --model resnet18_mtf_msf_deeplabv3 --mtf a --warmup --loss bi --loss-weight"
+
+test="python3 src/train.py --test-only --model resnet18_mtf_msf_deeplabv3 --mtf a --train-dataset VL_CMU_CD --test-dataset VL_CMU_CD --input-size 512 --resume output/deeplabv3_tri_mulitfeature_resnet18_VL_CMU_CD_0_512/2021-09-15_09:59:00/checkpoint.pth"

exp/branch/resnet18_mtf_a_msf4_deeplabv3_pcd.sh

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+#!/bin/bash
+
+train="python3 -m torch.distributed.launch --nproc_per_node=4 --use_env src/train.py --train-dataset PCD_CV --test-dataset GSV --test-dataset2 TSUNAMI --data-cv 4 --input-size 256 --model resnet18_mtf_msf_deeplabv3 --mtf a --warmup --loss bi --loss-weight"
+
+test="python3 src/train.py --test-only --save-imgs --model resnet18_mtf_msf_deeplabv3 --mtf a --train-dataset PCD_CV --test-dataset TSUNAMI --data-cv 4 --input-size 256 --resume output/fcn_tri_fpn4_resnet18_PCD_CV_0_256/2021-09-18_09:01:41/best.pth"
+
+

exp/branch/resnet18_mtf_d_msf4_deeplabv3_cmu.sh

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+#!/bin/bash
+
+train="python3 -m torch.distributed.launch --nproc_per_node=4 --use_env src/train.py --train-dataset VL_CMU_CD --test-dataset VL_CMU_CD --input-size 512 --model resnet18_mtf_msf_deeplabv3 --mtf d --warmup --loss bi --loss-weight"
+
+test="python3 src/train.py --test-only --model resnet18_mtf_msf_deeplabv3 --mtf d --train-dataset VL_CMU_CD --test-dataset VL_CMU_CD --input-size 512 --resume output/deeplabv3_tri_mulitfeature_resnet18_VL_CMU_CD_0_512/2021-09-15_09:59:00/checkpoint.pth"

exp/branch/resnet18_mtf_d_msf4_deeplabv3_pcd.sh

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+#!/bin/bash
+
+train="python3 -m torch.distributed.launch --nproc_per_node=4 --use_env src/train.py --train-dataset PCD_CV --test-dataset GSV --test-dataset2 TSUNAMI --data-cv 4 --input-size 256 --model resnet18_mtf_msf_deeplabv3 --mtf d --warmup --loss bi --loss-weight"
+
+test="python3 src/train.py --test-only --save-imgs --model resnet18_mtf_msf_deeplabv3 --mtf d --train-dataset PCD_CV --test-dataset TSUNAMI --data-cv 4 --input-size 256 --resume output/fcn_tri_fpn4_resnet18_PCD_CV_0_256/2021-09-18_09:01:41/best.pth"
+
+

exp/branch/resnet18_mtf_e_msf4_deeplabv3_cmu.sh

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+#!/bin/bash
+
+train="python3 -m torch.distributed.launch --nproc_per_node=4 --use_env src/train.py --train-dataset VL_CMU_CD --test-dataset VL_CMU_CD --input-size 512 --model resnet18_mtf_msf_deeplabv3 --mtf e --warmup --loss bi --loss-weight"
+
+test="python3 src/train.py --test-only --model resnet18_mtf_msf_deeplabv3 --mtf e --train-dataset VL_CMU_CD --test-dataset VL_CMU_CD --input-size 512 --resume output/deeplabv3_tri_mulitfeature_resnet18_VL_CMU_CD_0_512/2021-09-15_09:59:00/checkpoint.pth"

exp/branch/resnet18_mtf_e_msf4_deeplabv3_pcd.sh

@@ -0,0 +1,7 @@
+#!/bin/bash
+
+train="python3 -m torch.distributed.launch --nproc_per_node=4 --use_env src/train.py --train-dataset PCD_CV --test-dataset GSV --test-dataset2 TSUNAMI --data-cv 4 --input-size 256 --model resnet18_mtf_msf_deeplabv3 --mtf e --warmup --loss bi --loss-weight"
+
+test="python3 src/train.py --test-only --save-imgs --model resnet18_mtf_msf_deeplabv3 --mtf e --train-dataset PCD_CV --test-dataset TSUNAMI --data-cv 4 --input-size 256 --resume output/fcn_tri_fpn4_resnet18_PCD_CV_0_256/2021-09-18_09:01:41/best.pth"
+
+

exp/branch/resnet18_mtf_i_msf4_deeplabv3_cmu.sh

@@ -0,0 +1,5 @@
+#!/bin/bash
+
+train="python3 -m torch.distributed.launch --nproc_per_node=4 --use_env src/train.py --train-dataset VL_CMU_CD --test-dataset VL_CMU_CD --input-size 512 --model resnet18_mtf_msf_deeplabv3 --mtf i --warmup --loss bi --loss-weight"
+
+test="python3 src/train.py --test-only --model resnet18_mtf_msf_deeplabv3 --mtf i --train-dataset VL_CMU_CD --test-dataset VL_CMU_CD --input-size 512 --resume output/deeplabv3_tri_mulitfeature_resnet18_VL_CMU_CD_0_512/2021-09-15_09:59:00/checkpoint.pth"

exp/branch/resnet18_mtf_i_msf4_deeplabv3_pcd.sh

@@ -0,0 +1,7 @@
+#!/bin/bash
+
+train="python3 -m torch.distributed.launch --nproc_per_node=4 --use_env src/train.py --train-dataset PCD_CV --test-dataset GSV --test-dataset2 TSUNAMI --data-cv 4 --input-size 256 --model resnet18_mtf_msf_deeplabv3 --mtf i --warmup --loss bi --loss-weight"
+
+test="python3 src/train.py --test-only --save-imgs --model resnet18_mtf_msf_deeplabv3 --mtf i --train-dataset PCD_CV --test-dataset TSUNAMI --data-cv 4 --input-size 256 --resume output/fcn_tri_fpn4_resnet18_PCD_CV_0_256/2021-09-18_09:01:41/best.pth"
+
+

exp/branch/resnet18_mtf_ia_msf4_deeplabv3_cmu.sh

@@ -0,0 +1,5 @@
+#!/bin/bash
+
+train="python3 -m torch.distributed.launch --nproc_per_node=4 --use_env src/train.py --train-dataset VL_CMU_CD --test-dataset VL_CMU_CD --input-size 512 --model resnet18_mtf_msf_deeplabv3 --mtf ia --warmup --loss bi --loss-weight"
+
+test="python3 src/train.py --test-only --model resnet18_mtf_msf_deeplabv3 --mtf ia --train-dataset VL_CMU_CD --test-dataset VL_CMU_CD --input-size 512 --resume output/deeplabv3_tri_mulitfeature_resnet18_VL_CMU_CD_0_512/2021-09-15_09:59:00/checkpoint.pth"

exp/branch/resnet18_mtf_ia_msf4_deeplabv3_pcd.sh

@@ -0,0 +1,7 @@
+#!/bin/bash
+
+train="python3 -m torch.distributed.launch --nproc_per_node=4 --use_env src/train.py --train-dataset PCD_CV --test-dataset GSV --test-dataset2 TSUNAMI --data-cv 4 --input-size 256 --model resnet18_mtf_msf_deeplabv3 --mtf ia --warmup --loss bi --loss-weight"
+
+test="python3 src/train.py --test-only --save-imgs --model resnet18_mtf_msf_deeplabv3 --mtf ia --train-dataset PCD_CV --test-dataset TSUNAMI --data-cv 4 --input-size 256 --resume output/fcn_tri_fpn4_resnet18_PCD_CV_0_256/2021-09-18_09:01:41/best.pth"
+
+

exp/branch/resnet18_mtf_iad_msf4_deeplabv3_cmu.sh

@@ -0,0 +1,5 @@
+#!/bin/bash
+
+train="python3 -m torch.distributed.launch --nproc_per_node=4 --use_env src/train.py --train-dataset VL_CMU_CD --test-dataset VL_CMU_CD --input-size 512 --model resnet18_mtf_msf_deeplabv3 --mtf iad --warmup --loss bi --loss-weight"
+
+test="python3 src/train.py --test-only --model resnet18_mtf_msf_deeplabv3 --mtf iad --train-dataset VL_CMU_CD --test-dataset VL_CMU_CD --input-size 512 --resume output/deeplabv3_tri_mulitfeature_resnet18_VL_CMU_CD_0_512/2021-09-15_09:59:00/checkpoint.pth"

exp/branch/resnet18_mtf_iad_msf4_deeplabv3_pcd.sh

@@ -0,0 +1,7 @@
+#!/bin/bash
+
+train="python3 -m torch.distributed.launch --nproc_per_node=4 --use_env src/train.py --train-dataset PCD_CV --test-dataset GSV --test-dataset2 TSUNAMI --data-cv 4 --input-size 256 --model resnet18_mtf_msf_deeplabv3 --mtf iad --warmup --loss bi --loss-weight"
+
+test="python3 src/train.py --test-only --save-imgs --model resnet18_mtf_msf_deeplabv3 --mtf iad --train-dataset PCD_CV --test-dataset TSUNAMI --data-cv 4 --input-size 256 --resume output/fcn_tri_fpn4_resnet18_PCD_CV_0_256/2021-09-18_09:01:41/best.pth"
+
+

exp/branch/resnet18_mtf_iade_msf4_deeplabv3_cmu.sh

@@ -0,0 +1,5 @@
+#!/bin/bash
+
+train="python3 -m torch.distributed.launch --nproc_per_node=4 --use_env src/train.py --train-dataset VL_CMU_CD --test-dataset VL_CMU_CD --input-size 512 --model resnet18_mtf_msf_deeplabv3 --mtf iade --warmup --loss bi --loss-weight"
+
+test="python3 src/train.py --test-only --model resnet18_mtf_msf_deeplabv3 --mtf iade --train-dataset VL_CMU_CD --test-dataset VL_CMU_CD --input-size 512 --resume output/deeplabv3_tri_mulitfeature_resnet18_VL_CMU_CD_0_512/2021-09-15_09:59:00/checkpoint.pth"

exp/branch/resnet18_mtf_iade_msf4_deeplabv3_pcd.sh

@@ -0,0 +1,7 @@
+#!/bin/bash
+
+train="python3 -m torch.distributed.launch --nproc_per_node=4 --use_env src/train.py --train-dataset PCD_CV --test-dataset GSV --test-dataset2 TSUNAMI --data-cv 4 --input-size 256 --model resnet18_mtf_msf_deeplabv3 --mtf iade --warmup --loss bi --loss-weight"
+
+test="python3 src/train.py --test-only --save-imgs --model resnet18_mtf_msf_deeplabv3 --mtf iade --train-dataset PCD_CV --test-dataset TSUNAMI --data-cv 4 --input-size 256 --resume output/fcn_tri_fpn4_resnet18_PCD_CV_0_256/2021-09-18_09:01:41/best.pth"
+
+

exp/branch/resnet18_mtf_iae_msf4_deeplabv3_cmu.sh

@@ -0,0 +1,5 @@
+#!/bin/bash
+
+train="python3 -m torch.distributed.launch --nproc_per_node=4 --use_env src/train.py --train-dataset VL_CMU_CD --test-dataset VL_CMU_CD --input-size 512 --model resnet18_mtf_msf_deeplabv3 --mtf iae --warmup --loss bi --loss-weight"
+
+test="python3 src/train.py --test-only --model resnet18_mtf_msf_deeplabv3 --mtf iae --train-dataset VL_CMU_CD --test-dataset VL_CMU_CD --input-size 512 --resume output/deeplabv3_tri_mulitfeature_resnet18_VL_CMU_CD_0_512/2021-09-15_09:59:00/checkpoint.pth"

exp/branch/resnet18_mtf_iae_msf4_deeplabv3_pcd.sh

@@ -0,0 +1,7 @@
+#!/bin/bash
+
+train="python3 -m torch.distributed.launch --nproc_per_node=4 --use_env src/train.py --train-dataset PCD_CV --test-dataset GSV --test-dataset2 TSUNAMI --data-cv 4 --input-size 256 --model resnet18_mtf_msf_deeplabv3 --mtf iae --warmup --loss bi --loss-weight"
+
+test="python3 src/train.py --test-only --save-imgs --model resnet18_mtf_msf_deeplabv3 --mtf iae --train-dataset PCD_CV --test-dataset TSUNAMI --data-cv 4 --input-size 256 --resume output/fcn_tri_fpn4_resnet18_PCD_CV_0_256/2021-09-18_09:01:41/best.pth"
+
+