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README

CLIMS

Code repository for our paper "CLIMS: Cross Language Image Matching for Weakly Supervised Semantic Segmentation" in CVPR 2022

1. The quality of pseudo masks on PASCAL VOC2012.

Method backbone CAMs + RW
AdvCAM R50 55.6 68.0
CLIMS R50 56.6 70.5

2. Evaluation results on PASCAL VOC2012.

Method Supervision val test
AdvCAM S 68.1 68.0
EDAM I+S 70.9 70.6
CLIMS S 69.3 68.7
CLIMS S 70.4 70.0

(Initial CAMs, pseudo semantic masks, and pretrainde models can be download at Google Drive)

If you are using our code, please consider citing our paper.

@article{xie2022cross,
  title={Cross Language Image Matching for Weakly Supervised Semantic Segmentation},
  author={Xie, Jinheng and Hou, Xianxu and Ye, Kai and Shen, Linlin},
  journal={arXiv preprint arXiv:2203.02668},
  year={2022}
}

Core symbols most depended-on inside this repo

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Method 459
Function 355
Class 181
Route 2

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Python100%

Modules by API surface

previous_version/voc12/data.py56 symbols
previous_version/tools/ai/augment_utils.py42 symbols
voc12/dataloader.py41 symbols
previous_version/core/datasets.py32 symbols
previous_version/core/networks.py29 symbols
previous_version/tools/ai/randaugment.py28 symbols
net/resnet50_clims.py26 symbols
mscoco/dataloader.py25 symbols
previous_version/tool/imutils.py23 symbols
previous_version/tool/pyutils.py22 symbols
torch_utils.py20 symbols
previous_version/tools/ai/torch_utils.py20 symbols

For agents

$ claude mcp add CLIMS \
  -- python -m otcore.mcp_server <graph>

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