{"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":"/code/compute-gradcam","entry":"compute_gradcam","source":"Syntology graph, per-sample; not an archive number","read_at":"2026-09-24T18:15:14+00:00","claim":"Names are grouped by exact entry-name string. Same-named routines are NOT asserted to be equivalent; 'ran' means executed on a synthesized fixture, not correctness. n_samples_ran = sum of by_status over every status except 'unverified' (ran_draft_wrong and ran_fixture are failures of Syntology's instrument, not of the code); n_papers_ran = papers with at least one such sample.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"},"n_papers":5,"n_papers_ran":0,"units":"n_samples, n_samples_ran, n_samples_fingerprinted and by_status count distinct code bodies (code_sha256); n_places and n_places_pointer_only count places, one per (paper, code body) pair, which is also the unit of the samples list","n_samples":3,"n_samples_ran":0,"n_samples_fingerprinted":0,"n_places":5,"n_places_pointer_only":2,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":0,"unverified":3},"syntology":{"atlas_url":null,"mcp":null,"mcp_per_sample":{"tool":"get_code","arguments_in":"samples[].mcp_get_code"},"developers":"https://syntology.ai/developers"},"samples":[{"arxiv_id":"2507.12416","paper":null,"title":"arXiv:2507.12416","date":null,"month_inferred_from_arxiv_id":"2025-07","title_source":null,"repo":"jackwaky/QuRe","path":"lavis/models/blip_models/blip_qure.py","file_url":"https://github.com/jackwaky/QuRe/blob/HEAD/lavis/models/blip_models/blip_qure.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"16b8bc0c4c1c1c87","mcp_get_code":{"code_sha256":"16b8bc0c4c1c1c87"}},{"arxiv_id":"2412.12511","paper":"/paper/invisible-watermarks-attacks-and-robustness","title":"Invisible Watermarks: Attacks and Robustness","date":"2024-12-17","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"tomputer-g/idl_war","path":"GradCAM-StegaStamp/decode_gradcam.py","file_url":"https://github.com/tomputer-g/idl_war/blob/HEAD/GradCAM-StegaStamp/decode_gradcam.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"90e08ac718cd749e","mcp_get_code":{"code_sha256":"90e08ac718cd749e"}},{"arxiv_id":"2406.18113","paper":"/paper/the-surprising-effectiveness-of-multimodal","title":"The Surprising Effectiveness of Multimodal Large Language Models for Video Moment Retrieval","date":"2024-06-26","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"sudo-Boris/mr-Blip","path":"lavis/models/blip_models/blip_image_text_matching.py","file_url":"https://github.com/sudo-Boris/mr-Blip/blob/HEAD/lavis/models/blip_models/blip_image_text_matching.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"BSD-3-Clause","inline_ok":true,"code_sha256_prefix":"16b8bc0c4c1c1c87","mcp_get_code":{"code_sha256":"16b8bc0c4c1c1c87"}},{"arxiv_id":"2403.19949","paper":"/paper/fairclip-harnessing-fairness-in-vision","title":"FairCLIP: Harnessing Fairness in Vision-Language Learning","date":"2024-03-29","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"purdue-m2/robust_fairness_for_medical_image","path":"LAVIS/lavis/models/blip_models/blip_image_text_matching.py","file_url":"https://github.com/purdue-m2/robust_fairness_for_medical_image/blob/HEAD/LAVIS/lavis/models/blip_models/blip_image_text_matching.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"16b8bc0c4c1c1c87","mcp_get_code":{"code_sha256":"16b8bc0c4c1c1c87"}},{"arxiv_id":"2110.00527","paper":"/paper/consistent-explanations-by-contrastive","title":"Consistent Explanations by Contrastive Learning","date":"2021-10-01","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"UCDvision/CGC","path":"TorchRay/torchray/benchmark/evaluate_imagenet_gradcam_energy_inside_bbox.py","file_url":"https://github.com/UCDvision/CGC/blob/HEAD/TorchRay/torchray/benchmark/evaluate_imagenet_gradcam_energy_inside_bbox.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"e2f5c5e03a32f0db","mcp_get_code":{"code_sha256":"e2f5c5e03a32f0db"}}]}