{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/ablation-cam-visual-explanations-for-deep","title":"Ablation-CAM: Visual Explanations for Deep Convolutional Network via Gradient-free Localization","arxiv_id":null,"date":"2020-01-01","proceeding":"WACV 2020 1","authors":["Saurabh Desai","Harish G. Ramaswamy"],"abstract":"In response to recent criticism of gradient-based visualization techniques, we propose a new methodology to generate visual explanations for deep Convolutional Neural Networks (CNN) - based models. Our approach - Ablationbased Class Activation Mapping (Ablation CAM) uses ablation analysis to determine the importance (weights) of individual feature map units w.r.t. class. Further, this is used to\r\nproduce a coarse localization map highlighting the important regions in the image for predicting the concept. Our objective and subjective evaluations show that this gradientfree approach works better than state-of-the-art Grad-CAM\r\ntechnique. Moreover, further experiments are carried out to\r\nshow that Ablation-CAM is class discriminative as well as\r\ncan be used to evaluate trust in a model.","url_abs":"https://openaccess.thecvf.com/content_WACV_2020/papers/Desai_Ablation-CAM_Visual_Explanations_for_Deep_Convolutional_Network_via_Gradient-free_Localization_WACV_2020_paper.pdf","url_pdf":"https://openaccess.thecvf.com/content_WACV_2020/papers/Desai_Ablation-CAM_Visual_Explanations_for_Deep_Convolutional_Network_via_Gradient-free_Localization_WACV_2020_paper.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"ablation-cam-visual-explanations-for-deep","repo_url":"https://github.com/ShreyPandit/Ablation-Cam","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null},{"paper_slug":"ablation-cam-visual-explanations-for-deep","repo_url":"https://github.com/jacobgil/pytorch-grad-cam","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":null},{"paper_slug":"ablation-cam-visual-explanations-for-deep","repo_url":"https://github.com/shyhyawJou/Ablation-CAM-Tensorflow","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"tf","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}