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Our\nmodel generalises well to unseen images and requires a single forward pass to\nperform saliency detection, therefore suitable for use in real-time systems. We\ntest our approach on CIFAR-10 and ImageNet datasets and show that the produced\nsaliency maps are easily interpretable, sharp, and free of artifacts. We\nsuggest a new metric for saliency and test our method on the ImageNet object\nlocalisation task. We achieve results outperforming other weakly supervised\nmethods.","url_abs":"http://arxiv.org/abs/1705.07857v1","url_pdf":"http://arxiv.org/pdf/1705.07857v1.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":"real-time-image-saliency-for-black-box","repo_url":"https://github.com/PiotrDabkowski/pytorch-saliency","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"real-time-image-saliency-for-black-box","repo_url":"https://github.com/davidGCR/saliencyMapper","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"real-time-image-saliency-for-black-box","repo_url":"https://github.com/karanchahal/SaliencyMapper","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"real-time-image-saliency-for-black-box","repo_url":"https://github.com/zib-iol/merlin-arthur-classifiers","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}}],"tasks":[{"task_slug":"saliency-detection","task_name":"Saliency Detection"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=1705.07857","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1705.07857"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. 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