{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T15:57:20Z","timestamp":1765209440236,"version":"3.46.0"},"publisher-location":"New York, NY, USA","reference-count":25,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,11,17]],"date-time":"2023-11-17T00:00:00Z","timestamp":1700179200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-sa\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,11,17]]},"DOI":"10.1145\/3652628.3652632","type":"proceedings-article","created":{"date-parts":[[2024,5,23]],"date-time":"2024-05-23T10:36:46Z","timestamp":1716460606000},"page":"22-30","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["SFMatting-800: A Multi-Scene Smoke and Fire Image Matting Dataset for Fine-Grained Fire Detection"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-6355-4571","authenticated-orcid":false,"given":"Shihui","family":"Ma","sequence":"first","affiliation":[{"name":"School of Information Engineering, China University of Geosciences Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0657-1608","authenticated-orcid":false,"given":"Kun","family":"Ding","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation, Chinese Academy of Sciences, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4296-2289","authenticated-orcid":false,"given":"Hongping","family":"Yan","sequence":"additional","affiliation":[{"name":"School of Information Engineering, China University of Geosciences Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,5,23]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","unstructured":"Huanqia Cai Fanglei Xue Lele Xu and Lili Guo. 2023. TransMatting: Tri-token Equipped Transformer Model for Image Matting. CoRR. https:\/\/doi.org\/10.48550\/arXiv.2303.06476","DOI":"10.48550\/arXiv.2303.06476"},{"volume-title":"Fast and efficient method for fire detection using image processing. ETRI journal","author":"Turgay Celik","key":"e_1_3_2_1_2_1","unstructured":"Celik Turgay. 2010. Fast and efficient method for fire detection using image processing. ETRI journal. Wiley Online Library, 881\u2014890, from https:\/\/onlinelibrary.wiley.com\/doi\/abs\/10.4218\/etrij.10.0109.0695"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","unstructured":"Guowei Chen Yi Liu Jian Wang Juncai Peng Yuying Hao Lutao Chu Shiyu Tang Zewu Wu Zeyu Chen Zhiliang Yu Yuning Du Qingqing Dang Xiaoguang Hu and Dianhai Yu. 2022. PP-Matting: High-Accuracy Natural Image Matting. CoRR. https:\/\/doi.org\/10.48550\/arXiv.2204.09433","DOI":"10.48550\/arXiv.2204.09433"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.18"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451657"},{"key":"e_1_3_2_1_6_1","volume-title":"Proceedings of VIIP. Citeseer, 423\u2014429","author":"Leo Grady","year":"2005","unstructured":"Grady Leo, Schiwietz Thomas, Aharon Shmuel, and Westermann Rdiger. 2005. Random walks for interactive alpha-matting. Proceedings of VIIP. Citeseer, 423\u2014429. https:\/\/api.semanticscholar.org\/CorpusID:8857695"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995495"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539896"},{"key":"e_1_3_2_1_9_1","volume-title":"36th AAAI Conference on Artificial Intelligence. AAAI Press, 1140-1147","author":"Ke Zhanghan","year":"1999","unstructured":"Zhanghan Ke, Jiayu Sun, Kaican Li, Qiong Yan, and Rynson W. H. Lau. 2022. MODNet: Real-Time Trimap-Free Portrait Matting via Objective Decomposition. 36th AAAI Conference on Artificial Intelligence. AAAI Press, 1140-1147. https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/view\/19999"},{"key":"e_1_3_2_1_10_1","first-page":"228","article-title":"A Closed-Form Solution to Natural Image Matting","author":"Levin Anat","year":"2008","unstructured":"Anat Levin, Dani Lischinski, and Yair Weiss. 2008. A Closed-Form Solution to Natural Image Matting. IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE, Los Alamitos, CA, 228-242.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE, Los Alamitos, CA"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-021-01541-0"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/111"},{"key":"e_1_3_2_1_13_1","volume-title":"The 34th AAAI Conference on Artificial Intelligence. AAAI Press, 11450-11457","author":"Li Yaoyi","year":"2022","unstructured":"Yaoyi Li, and Hongtao Lu. 2022. Natural Image Matting via Guided Contextual Attention. The 34th AAAI Conference on Artificial Intelligence. AAAI Press, 11450-11457. https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/view\/6809"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00336"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/IIAIAAI55812.2022.00074"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01369"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.88"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/1015706.1015721"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00317"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-022-07467-z"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.41"},{"key":"e_1_3_2_1_23_1","volume-title":"Transmission-Guided Bayesian Generative Model for Smoke Segmentation. 36th AAAI Conference on Artificial Intelligence. AAAI Press, 3009-3017","author":"Yan Siyuan","year":"2022","unstructured":"Siyuan Yan, Jing Zhang, and Nick Barnes. 2022. Transmission-Guided Bayesian Generative Model for Smoke Segmentation. 36th AAAI Conference on Artificial Intelligence. AAAI Press, 3009-3017. https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/view\/20207"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00765"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459326"}],"event":{"name":"ICAICE 2023: The 4th International Conference on Artificial Intelligence and Computer Engineering","acronym":"ICAICE 2023","location":"Dalian China"},"container-title":["Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3652628.3652632","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3652628.3652632","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T15:27:09Z","timestamp":1765207629000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3652628.3652632"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,17]]},"references-count":25,"alternative-id":["10.1145\/3652628.3652632","10.1145\/3652628"],"URL":"https:\/\/doi.org\/10.1145\/3652628.3652632","relation":{},"subject":[],"published":{"date-parts":[[2023,11,17]]},"assertion":[{"value":"2024-05-23","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}