{"url":"/method/xgrad-cam","slug":"xgrad-cam","name":"XGrad-CAM","full_name":"XGrad-CAM","full_name_withheld":false,"description_markdown":"**XGrad-CAM**, or **Axiom-based Grad-CAM**, is a class-discriminative visualization method and able to highlight the regions belonging to the objects of interest. Two axiomatic properties are introduced in the derivation of XGrad-CAM: Sensitivity and Conservation. In particular, the proposed XGrad-CAM is still a linear combination of feature maps, but able to meet the constraints of those two axioms.","description_state":"present","introduced_year":null,"introduced_by":{"title":"Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs","paper":"/paper/axiom-based-grad-cam-towards-accurate","first_author":"Ruigang Fu","n_authors":6,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/axiom-based-grad-cam-towards-accurate"},"source":{"url":"https://arxiv.org/abs/2008.02312v4","title":"Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs","url_on_a_paper_host":true},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"Computer Vision","area_id":"computer-vision","collection":"Explainable CNNs","url":"/methods/category/explainable-cnns","pwc_aliases":[]}],"n_papers_tagged":3,"archive_num_papers":3,"papers_newest_first":[{"paper":null,"title":"Weakly Supervised Pixel-Level Annotation with Visual Interpretability","date":"2025-02-25","arxiv_id":"2502.17824","n_code_links":0,"syntology":null},{"paper":"/paper/axiom-based-grad-cam-towards-accurate","title":"Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs","date":"2020-08-05","arxiv_id":"2008.02312","n_code_links":3,"syntology":{"ran":1,"of":1,"unverified":0,"pointer_only":1}},{"paper":"/paper/sanity-checks-for-saliency-maps","title":"Sanity Checks for Saliency Maps","date":"2018-10-08","arxiv_id":"1810.03292","n_code_links":5,"syntology":null}],"papers_shown":3,"tasks":[{"task":"/task/edge-detection","name":"Edge Detection","papers":1},{"task":"/task/ensemble-learning","name":"Ensemble Learning","papers":1},{"task":"/task/image-generation","name":"Image Generation","papers":1},{"task":"/task/saliency-detection","name":"Saliency Detection","papers":1},{"task":"/task/sensitivity","name":"Sensitivity","papers":1},{"task":"/task/uncertainty-quantification","name":"Uncertainty Quantification","papers":1}],"tasks_shown":6,"n_tasks":6,"usage_by_year":[{"year":"2018","papers":1},{"year":"2020","papers":1},{"year":"2025","papers":1}],"row_source":"methods_table","archive":{"source":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","archive_url":"https://paperswithcode.com/method/xgrad-cam"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}