{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,18]],"date-time":"2024-10-18T04:27:40Z","timestamp":1729225660017,"version":"3.27.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643685489","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,10,16]],"date-time":"2024-10-16T00:00:00Z","timestamp":1729036800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,10,16]]},"abstract":"<jats:p>Refining the seed region to obtain finely annotated pseudo masks for training a segmentation model is a crucial step in the multi-stage weakly supervised semantic segmentation (WSSS) framework. One of the most popular refinement methods, IRN, extends seed regions towards the edges in the image. However, we observed that, due to the lack of guidance from semantic information, IRN\u2019s refinement may lead the generation of partially erroneous refinement directions. To address this issue, we leverage prototypes to recover the overlooked category semantic information in the refinement stage. We propose a prototype-based pseudo mask reclassification post-processing (PtReCl) to correct misclassified pixels in the pseudo masks, generating refined pseudo masks with more accurate coverage. Experimental evaluations demonstrate that our post-processing approach brings improvements in both pseudo mask quality and segmentation results on PASCAL VOC and MS COCO datasets, achieving state-of-the-art performance on VOC.<\/jats:p>","DOI":"10.3233\/faia240491","type":"book-chapter","created":{"date-parts":[[2024,10,17]],"date-time":"2024-10-17T12:40:01Z","timestamp":1729168801000},"source":"Crossref","is-referenced-by-count":0,"title":["Pixel-wise Reclassification with Prototypes for Enhancing Weakly Supervised Semantic Segmentation"],"prefix":"10.3233","author":[{"given":"Yujie","family":"Diao","sequence":"first","affiliation":[{"name":"College of Intelligence and Computing, Tianjin University, Tianjin, 300350, China"},{"name":"Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin, 300350, China"},{"name":"Tianjin Key Laboratory of Advanced Networking, Tianjin, 300350, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruiguo","family":"Yu","sequence":"additional","affiliation":[{"name":"College of Intelligence and Computing, Tianjin University, Tianjin, 300350, China"},{"name":"Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin, 300350, China"},{"name":"Tianjin Key Laboratory of Advanced Networking, Tianjin, 300350, China"},{"name":"School of Future Technology, Tianjin University, Tianjin, 300350, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuewei","family":"Li","sequence":"additional","affiliation":[{"name":"College of Intelligence and Computing, Tianjin University, Tianjin, 300350, China"},{"name":"Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin, 300350, China"},{"name":"Tianjin Key Laboratory of Advanced Networking, Tianjin, 300350, China"},{"name":"School of Future Technology, Tianjin University, Tianjin, 300350, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yilong","family":"Fan","sequence":"additional","affiliation":[{"name":"College of Intelligence and Computing, Tianjin University, Tianjin, 300350, China"},{"name":"Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin, 300350, China"},{"name":"Tianjin Key Laboratory of Advanced Networking, Tianjin, 300350, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiqiang","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Intelligence and Computing, Tianjin University, Tianjin, 300350, China"},{"name":"Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin, 300350, China"},{"name":"Tianjin Key Laboratory of Advanced Networking, Tianjin, 300350, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mei","family":"Yu","sequence":"additional","affiliation":[{"name":"College of Intelligence and Computing, Tianjin University, Tianjin, 300350, China"},{"name":"Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin, 300350, China"},{"name":"Tianjin Key Laboratory of Advanced Networking, Tianjin, 300350, China"},{"name":"School of Future Technology, Tianjin University, Tianjin, 300350, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chenhan","family":"Wang","sequence":"additional","affiliation":[{"name":"OpenBayes (Tianjin) IT Co., Ltd., Tianjin, 300456, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jie","family":"Gao","sequence":"additional","affiliation":[{"name":"College of Intelligence and Computing, Tianjin University, Tianjin, 300350, China"},{"name":"Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin, 300350, China"},{"name":"Tianjin Key Laboratory of Advanced Networking, Tianjin, 300350, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","ECAI 2024"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA240491","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,17]],"date-time":"2024-10-17T12:40:01Z","timestamp":1729168801000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA240491"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,16]]},"ISBN":["9781643685489"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia240491","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10,16]]}}}