{"id":18612956,"url":"https://github.com/haofanwang/score-cam","last_synced_at":"2025-04-06T02:12:40.335Z","repository":{"id":37622190,"uuid":"255300563","full_name":"haofanwang/Score-CAM","owner":"haofanwang","description":"Official implementation of Score-CAM in PyTorch","archived":false,"fork":false,"pushed_at":"2022-08-06T09:40:47.000Z","size":2328,"stargazers_count":412,"open_issues_count":6,"forks_count":65,"subscribers_count":6,"default_branch":"master","last_synced_at":"2025-03-30T01:12:23.197Z","etag":null,"topics":["cam","class-activation-maps","cnn-visualization","cnn-visualization-technique","explainability","grad-cam","gradcam","gradient-free","heatmap","pytorch","saliency","score-cam","scorecam","visual-explanations"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/haofanwang.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2020-04-13T10:53:37.000Z","updated_at":"2025-03-25T08:20:13.000Z","dependencies_parsed_at":"2022-07-12T16:34:18.875Z","dependency_job_id":null,"html_url":"https://github.com/haofanwang/Score-CAM","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/haofanwang%2FScore-CAM","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/haofanwang%2FScore-CAM/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/haofanwang%2FScore-CAM/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/haofanwang%2FScore-CAM/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/haofanwang","download_url":"https://codeload.github.com/haofanwang/Score-CAM/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247423516,"owners_count":20936626,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["cam","class-activation-maps","cnn-visualization","cnn-visualization-technique","explainability","grad-cam","gradcam","gradient-free","heatmap","pytorch","saliency","score-cam","scorecam","visual-explanations"],"created_at":"2024-11-07T03:19:15.838Z","updated_at":"2025-04-06T02:12:40.309Z","avatar_url":"https://github.com/haofanwang.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks\n\nWe develop a novel post-hoc visual explanation method called Score-CAM, which is the first gradient-free CAM-based visualization method that achieves better visual performance (**state-of-the-art**). \n\n\u003cimg src=\"https://github.com/haofanwang/Score-CAM/blob/master/pics/comparison.png\" width=\"100%\" height=\"100%\"\u003e\n\nPaper: [Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks](http://openaccess.thecvf.com/content_CVPRW_2020/papers/w1/Wang_Score-CAM_Score-Weighted_Visual_Explanations_for_Convolutional_Neural_Networks_CVPRW_2020_paper.pdf), appeared at IEEE [CVPR 2020 Workshop on Fair, Data Efficient and Trusted Computer Vision](https://fadetrcv.github.io). Our paper has been cited by **400**!\n\nDemo: You can run an example via [Colab](https://colab.research.google.com/drive/1m1VAhKaO7Jns5qt5igfd7lSVZudoKmID?usp=sharing)\n\n## Update\n\n**`2021.12.16`**: A great MATLAB implementation from [Kenta Itakura](https://github.com/KentaItakura/Explainable-AI-interpreting-the-classification-using-score-CAM).\n\n**`2021.4.03`**: A Pytorch implementation [jacobgil/pytorch-grad-cam](https://github.com/jacobgil/pytorch-grad-cam) (3.8K Stars).\n\n**`2020.8.18`**: A PaddlePaddle implementation from [PaddlePaddle/InterpretDL](https://github.com/PaddlePaddle/InterpretDL).\n\n**`2020.7.11`**: A Tensorflow implementation from [keisen/tf-keras-vis](https://github.com/keisen/tf-keras-vis).\n\n**`2020.5.11`**: A Pytorch implementation from [utkuozbulak/pytorch-cnn-visualizations](https://github.com/utkuozbulak/pytorch-cnn-visualizations) (6.2K Stars).\n\n**`2020.3.24`**: Merged into [frgfm/torch-cam](https://github.com/frgfm/torch-cam), a wonderful library that supports multiple CAM-based methods.\n\n\n## Citation\nIf you find this work is helpful in your research, please cite our work:\n```\n@inproceedings{wang2020score,\n  title={Score-CAM: Score-weighted visual explanations for convolutional neural networks},\n  author={Wang, Haofan and Wang, Zifan and Du, Mengnan and Yang, Fan and Zhang, Zijian and Ding, Sirui and Mardziel, Piotr and Hu, Xia},\n  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition workshops},\n  pages={24--25},\n  year={2020}\n}\n```\n\n## Thanks\nUtils are built on [flashtorch](https://github.com/MisaOgura/flashtorch), thanks for releasing this great work!\n\n## Contact\nIf you have any questions, feel free to open an issue or directly contact me via: `haofanwang.ai@gmail.com`.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhaofanwang%2Fscore-cam","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhaofanwang%2Fscore-cam","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhaofanwang%2Fscore-cam/lists"}