{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:14:48Z","timestamp":1750220088258,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":30,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,3,18]],"date-time":"2022-03-18T00:00:00Z","timestamp":1647561600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100003392","name":"Natural Science Foundation of Fujian Province","doi-asserted-by":"publisher","award":["No.2021J011191 and 2019J05123"],"award-info":[{"award-number":["No.2021J011191 and 2019J05123"]}],"id":[{"id":"10.13039\/501100003392","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Science Foundation of China under Grants","award":["No.61773325 and 61806173"],"award-info":[{"award-number":["No.61773325 and 61806173"]}]},{"name":"the Joint Funds of 5th Round of Health and Education Research Program of Fujian Province","award":["No. 2019-WJ-41"],"award-info":[{"award-number":["No. 2019-WJ-41"]}]},{"name":"Industry-University Cooperation Project of Fujian Science and Technology Department","award":["No. 2021H6035"],"award-info":[{"award-number":["No. 2021H6035"]}]},{"name":"the Young Teacher Education Research Project of Fujian","award":["No. JT180435"],"award-info":[{"award-number":["No. JT180435"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,3,18]]},"DOI":"10.1145\/3532213.3532289","type":"proceedings-article","created":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T13:29:18Z","timestamp":1657718958000},"page":"505-510","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Interactive Semantic Segmentation With Weak Supervision"],"prefix":"10.1145","author":[{"given":"Lei","family":"Gong","sequence":"first","affiliation":[{"name":"Computer and Information Engineering, Xiamen University of Technology, China and Fujian Key Laboratory of Pattern Recognition and Image Understanding, Xiamen University of Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Da-Han","family":"Wang","sequence":"additional","affiliation":[{"name":"Computer and Information Engineering, Xiamen University of Technology, China and Fujian Key Laboratory of Pattern Recognition and Image Understanding, Xiamen University of Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hai-Li","family":"Ye","sequence":"additional","affiliation":[{"name":"Computer and Information Engineering, Xiamen University of Technology, China and Fujian Key Laboratory of Pattern Recognition and Image Understanding, Xiamen University of Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yun","family":"Wu","sequence":"additional","affiliation":[{"name":"Computer and Information Engineering, Xiamen University of Technology, China and Fujian Key Laboratory of Pattern Recognition and Image Understanding, Xiamen University of Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chen-Yan","family":"Zhu","sequence":"additional","affiliation":[{"name":"Motic (Xiamen) Medical Diagnostic Systems Co. Ltd, China and Fujian Key Laboratory of Pattern Recognition and Image Understanding, Xiamen University of Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,7,13]]},"reference":[{"volume-title":"Antonio Torralba: Learning Deep Features for Discriminative Localization. CVPR 2016:  2921-2929","author":"Zhou Bolei","key":"e_1_3_2_1_1_1","unstructured":"Bolei Zhou , Aditya Khosla , \u00c0gata Lapedriza , Aude Oliva , Antonio Torralba: Learning Deep Features for Discriminative Localization. CVPR 2016: 2921-2929 Bolei Zhou, Aditya Khosla, \u00c0gata Lapedriza, Aude Oliva, Antonio Torralba: Learning Deep Features for Discriminative Localization. CVPR 2016: 2921-2929"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"volume-title":"CVPR 2015:  3431-3440","author":"Long Jonathan","key":"e_1_3_2_1_3_1","unstructured":"Jonathan Long , Evan Shelhamer , Trevor Darrell: Fully convolutional networks for semantic segmentation . CVPR 2015: 3431-3440 Jonathan Long, Evan Shelhamer, Trevor Darrell:Fully convolutional networks for semantic segmentation. CVPR 2015: 3431-3440"},{"key":"e_1_3_2_1_4_1","first-page":"234","article-title":"U-Net","volume":"3","author":"Ronneberger Olaf","year":"2015","unstructured":"Olaf Ronneberger , Philipp Fischer , Thomas Brox : U-Net : Convolutional Networks for Biomedical Image Segmentation. MICCAI ( ( 3 ) 2015 : 234 - 241 Olaf Ronneberger, Philipp Fischer, Thomas Brox:U-Net: Convolutional Networks for Biomedical Image Segmentation. MICCAI (3) 2015: 234-241","journal-title":"Convolutional Networks for Biomedical Image Segmentation. MICCAI"},{"key":"e_1_3_2_1_5_1","first-page":"833","article-title":"Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation","volume":"7","author":"Chen Liang-Chieh","year":"2018","unstructured":"Liang-Chieh Chen , Yukun Zhu , George Papandreou , Florian Schroff , Hartwig Adam : Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation . ECCV ( ( 7 ) 2018 : 833 - 851 Liang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, Hartwig Adam:Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation. ECCV (7) 2018: 833-851","journal-title":"ECCV"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"XiaolinZhang \u00a0Yun chao Wei \u00a0 Jia shi Feng \u00a0Yi Yang \u00a0Thomas S. Huang: Adversarial Complementary Learning for Weakly Supervised Object Localization. CVPR\u00a02018:\u00a01325-1334  XiaolinZhang \u00a0Yun chao Wei \u00a0 Jia shi Feng \u00a0Yi Yang \u00a0Thomas S. Huang: Adversarial Complementary Learning for Weakly Supervised Object Localization. CVPR\u00a02018:\u00a01325-1334","DOI":"10.1109\/CVPR.2018.00144"},{"volume-title":"Xilin Chen:Self-Supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation. CVPR 2020:  12272-12281","author":"Wang Yude","key":"e_1_3_2_1_7_1","unstructured":"Yude Wang , Jie Zhang , Meina Kan , Shiguang Shan , Xilin Chen:Self-Supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation. CVPR 2020: 12272-12281 Yude Wang, Jie Zhang, Meina Kan, Shiguang Shan, Xilin Chen:Self-Supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation. CVPR 2020: 12272-12281"},{"volume-title":"MIDL 2020:  365-381","author":"Kervadec Hoel","key":"e_1_3_2_1_8_1","unstructured":"Hoel Kervadec , Jose Dolz , Shanshan Wang , Eric Granger , Ismail Ben Ayed : Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision . MIDL 2020: 365-381 Hoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed: Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision. MIDL 2020: 365-381"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Reuben Dorent Samuel Joutard Jonathan Shapey Aaron Kujawa Marc Modat S\u00e9bastien Ourselin Tom Vercauteren:Inter Extreme Points Geodesics for Weakly Supervised Segmentation. CoRR abs\/2107.00583 (2021)  Reuben Dorent Samuel Joutard Jonathan Shapey Aaron Kujawa Marc Modat S\u00e9bastien Ourselin Tom Vercauteren:Inter Extreme Points Geodesics for Weakly Supervised Segmentation. CoRR abs\/2107.00583 (2021)","DOI":"10.1007\/978-3-030-87196-3_57"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","unstructured":"Reuben Dorent Samuel Joutard Jonathan Shapey Aaron Kujawa Marc Modat S\u00e9bastien Ourselin Tom Vercauteren:Inter Extreme Points Geodesics for Weakly Supervised Segmentation. CoRR abs\/2107.00583 (2021)  Reuben Dorent Samuel Joutard Jonathan Shapey Aaron Kujawa Marc Modat S\u00e9bastien Ourselin Tom Vercauteren:Inter Extreme Points Geodesics for Weakly Supervised Segmentation. CoRR abs\/2107.00583 (2021)","DOI":"10.1007\/978-3-030-87196-3_57"},{"volume-title":"Yongdong Zhang:Boundary Perception Guidance: A Scribble-Supervised Semantic Segmentation Approach. IJCAI 2019:  3663-3669","author":"Wang Bin","key":"e_1_3_2_1_11_1","unstructured":"Bin Wang , Guojun Qi , Sheng Tang , Tianzhu Zhang , Yunchao Wei , Linghui Li , Yongdong Zhang:Boundary Perception Guidance: A Scribble-Supervised Semantic Segmentation Approach. IJCAI 2019: 3663-3669 Bin Wang, Guojun Qi, Sheng Tang, Tianzhu Zhang, Yunchao Wei, Linghui Li, Yongdong Zhang:Boundary Perception Guidance: A Scribble-Supervised Semantic Segmentation Approach. IJCAI 2019: 3663-3669"},{"volume-title":"Sungroh Yoon:FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference. CVPR 2019:  5267-5276","author":"Lee Jungbeom","key":"e_1_3_2_1_12_1","unstructured":"Jungbeom Lee , Eunji Kim , Sungmin Lee , Jangho Lee , Sungroh Yoon:FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference. CVPR 2019: 5267-5276 Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon:FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference. CVPR 2019: 5267-5276"},{"key":"e_1_3_2_1_13_1","first-page":"10762","article-title":"CIAN","volume":"2020","author":"Fan Junsong","unstructured":"Junsong Fan , Zhaoxiang Zhang , Tieniu Tan , Chunfeng Song , Jun Xiao : CIAN : Cross-Image Affinity Net for Weakly Supervised Semantic Segmentation. AAAI 2020 : 10762 - 10769 Junsong Fan, Zhaoxiang Zhang, Tieniu Tan, Chunfeng Song, Jun Xiao:CIAN: Cross-Image Affinity Net for Weakly Supervised Semantic Segmentation. AAAI 2020: 10762-10769","journal-title":"Cross-Image Affinity Net for Weakly Supervised Semantic Segmentation. AAAI"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/1015706.1015720"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2006.233"},{"volume-title":"Thomas S. Huang:Deep Interactive Object Selection. CVPR 2016:  373-381","author":"Xu Ning","key":"e_1_3_2_1_16_1","unstructured":"Ning Xu , Brian L. Price , Scott Cohen , Jimei Yang , Thomas S. Huang:Deep Interactive Object Selection. CVPR 2016: 373-381 Ning Xu, Brian L. Price, Scott Cohen, Jimei Yang, Thomas S. Huang:Deep Interactive Object Selection. CVPR 2016: 373-381"},{"volume-title":"Backpropagating Refinement Scheme. CVPR 2019:  5297-5306","author":"Jang Won-Dong","key":"e_1_3_2_1_17_1","unstructured":"Won-Dong Jang , Chang-Su Kim: Interactive Image Segmentation via Backpropagating Refinement Scheme. CVPR 2019: 5297-5306 Won-Dong Jang, Chang-Su Kim:Interactive Image Segmentation via Backpropagating Refinement Scheme. CVPR 2019: 5297-5306"},{"volume-title":"Anton Konushin:F-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation. CVPR 2020:  8620-8629","author":"Sofiiuk Konstantin","key":"e_1_3_2_1_18_1","unstructured":"Konstantin Sofiiuk , Ilia A. Petrov , Olga Barinova , Anton Konushin:F-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation. CVPR 2020: 8620-8629 Konstantin Sofiiuk, Ilia A. Petrov, Olga Barinova, Anton Konushin:F-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation. CVPR 2020: 8620-8629"},{"key":"e_1_3_2_1_19_1","unstructured":"Jord\u00e3o Bragantini Alexandre X. Falc\u00e3o Laurent Najman:Rethinking Interactive Image Segmentation: Feature Space Annotation. CoRR abs\/2101.04378 (2021)  Jord\u00e3o Bragantini Alexandre X. Falc\u00e3o Laurent Najman:Rethinking Interactive Image Segmentation: Feature Space Annotation. CoRR abs\/2101.04378 (2021)"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_21_1","first-page":"565","volume-title":"European conference on computer vision","author":"Bearman Amy","unstructured":"Amy Bearman , Olga Russakovsky , Vittorio Ferrari , and Li Fei-Fei . Whats the point: Semantic segmentation with point supervision . In European conference on computer vision ,pages 549\u2013 565 . Springer, 2016. 1, 2, 4, 6, 8 Amy Bearman, Olga Russakovsky, Vittorio Ferrari, and Li Fei-Fei. Whats the point: Semantic segmentation with point supervision. In European conference on computer vision,pages 549\u2013565. Springer, 2016. 1, 2, 4, 6, 8"},{"key":"e_1_3_2_1_22_1","first-page":"432","volume-title":"European Conference on Computer Vision","author":"Saleh Fatemehsadat","unstructured":"Fatemehsadat Saleh , Mohammad Sadegh Aliakbarian , Mathieu Salzmann , Lars Petersson , Stephen Gould , and Jose M Alvarez . Built-in foreground\/background prior for weakly supervised semantic segmentation . In European Conference on Computer Vision , pages 413\u2013 432 . Springer, 2016. 6 Fatemehsadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Lars Petersson, Stephen Gould, and Jose M Alvarez. Built-in foreground\/background prior for weakly supervised semantic segmentation. In European Conference on Computer Vision, pages 413\u2013432. Springer, 2016. 6"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00523"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00541"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.344"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00325"},{"volume-title":"Sungroh Yoon:Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation. CVPR 2021:  4071-4080","author":"Lee Jungbeom","key":"e_1_3_2_1_27_1","unstructured":"Jungbeom Lee , Eunji Kim , Sungroh Yoon:Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation. CVPR 2021: 4071-4080 Jungbeom Lee, Eunji Kim, Sungroh Yoon:Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation. CVPR 2021: 4071-4080"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.4304\/jait.3.4.197-205"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.4304\/jait.2.1.63-70"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.4304\/jait.2.1.63-70"}],"event":{"name":"ICCAI '22: 2022 8th International Conference on Computing and Artificial Intelligence","acronym":"ICCAI '22","location":"Tianjin China"},"container-title":["Proceedings of the 8th International Conference on Computing and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3532213.3532289","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3532213.3532289","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T18:09:44Z","timestamp":1750183784000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3532213.3532289"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,18]]},"references-count":30,"alternative-id":["10.1145\/3532213.3532289","10.1145\/3532213"],"URL":"https:\/\/doi.org\/10.1145\/3532213.3532289","relation":{},"subject":[],"published":{"date-parts":[[2022,3,18]]},"assertion":[{"value":"2022-07-13","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}