{"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/mitigating-intensity-bias-in-shadow-detection","title":"Mitigating Intensity Bias in Shadow Detection via Feature Decomposition and Reweighting","arxiv_id":null,"date":"2021-01-01","proceeding":"ICCV 2021 10","authors":["Lei Zhu","Ke Xu","Zhanghan Ke","Rynson W.H. Lau"],"abstract":"    While CNNs achieved remarkable progress in shadow detection, they tend to make mistakes in dark non-shadow regions and relatively bright shadow regions. They are also susceptible to brightness change. These two phenomenons reveal that deep shadow detectors heavily depend on the intensity cue, which we refer to as intensity bias. In this paper, we propose a novel feature decomposition and reweighting scheme to mitigate this intensity bias, in which multi-level integrated features are decomposed into intensity-variant and intensity-invariant components through self-supervision. By reweighting these two types of features, our method can reallocate the attention to the corresponding latent semantics and achieves balanced exploitation of them. Extensive experiments on three popular datasets show that the proposed method outperforms state-of-the-art shadow detectors.    ","url_abs":"http://openaccess.thecvf.com//content/ICCV2021/html/Zhu_Mitigating_Intensity_Bias_in_Shadow_Detection_via_Feature_Decomposition_and_ICCV_2021_paper.html","url_pdf":"http://openaccess.thecvf.com//content/ICCV2021/papers/Zhu_Mitigating_Intensity_Bias_in_Shadow_Detection_via_Feature_Decomposition_and_ICCV_2021_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":[],"tasks":[{"task_slug":"shadow-detection","task_name":"Shadow Detection"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/shadow-detection-on-cuhk-shadow","task":"Shadow Detection","dataset":"CUHK-Shadow","model":"FDRNet (ICCV 2021) (512x512)","rank_in_archive_order":1,"of":16,"metrics":{"BER":"6.58"},"uses_additional_data":false},{"leaderboard":"/sota/shadow-detection-on-cuhk-shadow","task":"Shadow Detection","dataset":"CUHK-Shadow","model":"ECA (MM 2021) (512x512)","rank_in_archive_order":4,"of":16,"metrics":{"BER":"7.99"},"uses_additional_data":false},{"leaderboard":"/sota/shadow-detection-on-cuhk-shadow","task":"Shadow Detection","dataset":"CUHK-Shadow","model":"ECA (MM 2021) (256x256)","rank_in_archive_order":7,"of":16,"metrics":{"BER":"8.58"},"uses_additional_data":false},{"leaderboard":"/sota/shadow-detection-on-cuhk-shadow","task":"Shadow Detection","dataset":"CUHK-Shadow","model":"FDRNet (ICCV 2021) (256x256)","rank_in_archive_order":16,"of":16,"metrics":{"BER":"14.39"},"uses_additional_data":false},{"leaderboard":"/sota/shadow-detection-on-sbu","task":"Shadow Detection","dataset":"SBU / SBU-Refine","model":"FDRNet (ICCV 2021) (512x512)","rank_in_archive_order":5,"of":16,"metrics":{"BER":"5.39"},"uses_additional_data":false},{"leaderboard":"/sota/shadow-detection-on-sbu","task":"Shadow Detection","dataset":"SBU / SBU-Refine","model":"FDRNet (ICCV 2021) (256x256)","rank_in_archive_order":7,"of":16,"metrics":{"BER":"5.64"},"uses_additional_data":false},{"leaderboard":"/sota/shadow-detection-on-sbu","task":"Shadow Detection","dataset":"SBU / SBU-Refine","model":"ECA (MM 2021) (256x256)","rank_in_archive_order":14,"of":16,"metrics":{"BER":"7.08"},"uses_additional_data":false},{"leaderboard":"/sota/shadow-detection-on-sbu","task":"Shadow Detection","dataset":"SBU / SBU-Refine","model":"ECA (MM 2021) (512x512)","rank_in_archive_order":16,"of":16,"metrics":{"BER":"7.52"},"uses_additional_data":false}],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}