{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,12]],"date-time":"2026-02-12T10:51:50Z","timestamp":1770893510933,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":34,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,12,8]],"date-time":"2023-12-08T00:00:00Z","timestamp":1701993600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,12,8]]},"DOI":"10.1145\/3638584.3638644","type":"proceedings-article","created":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T11:15:19Z","timestamp":1710414919000},"page":"251-258","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Rethinking Similar Object Interference in Single Object Tracking"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-0125-9553","authenticated-orcid":false,"given":"Yipei","family":"Wang","sequence":"first","affiliation":[{"name":"the School of Instrument Science and Engineering, Southeast University, China and the Institute of Automation, Chinese Academy of Sciences, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5872-7566","authenticated-orcid":false,"given":"Shiyu","family":"Hu","sequence":"additional","affiliation":[{"name":"the School of Artificial Intelligence, University of Chinese Academy of Sciences, China and the Institute of Automation, Chinese Academy of Sciences, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7660-9897","authenticated-orcid":false,"given":"Xin","family":"Zhao","sequence":"additional","affiliation":[{"name":"the Institute of Automation, Chinese Academy of Sciences, China and the University of Chinese Academy of Sciences, China"}]}],"member":"320","published-online":{"date-parts":[[2024,3,14]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Proceedings, Part II 14","author":"Bertinetto Luca","year":"2016","unstructured":"Luca Bertinetto, Jack Valmadre, Joao\u00a0F Henriques, Andrea Vedaldi, and Philip\u00a0HS Torr. 2016. Fully-convolutional siamese networks for object tracking. In Computer Vision\u2013ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part II 14. Springer, 850\u2013865."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00628"},{"key":"e_1_3_2_1_3_1","volume-title":"Proceedings, Part XXIII 16","author":"Bhat Goutam","year":"2020","unstructured":"Goutam Bhat, Martin Danelljan, Luc Van\u00a0Gool, and Radu Timofte. 2020. Know your surroundings: Exploiting scene information for object tracking. In Computer Vision\u2013ECCV 2020: 16th European Conference, Glasgow, UK, August 23\u201328, 2020, Proceedings, Part XXIII 16. Springer, 205\u2013221."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00803"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01324"},{"key":"e_1_3_2_1_6_1","unstructured":"Martin Danelljan and Goutam Bhat. 2019. PyTracking: Visual tracking library based on PyTorch."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00479"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.733"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00721"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00552"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_12_1","volume-title":"High-speed tracking with kernelized correlation filters","author":"Henriques F","year":"2014","unstructured":"Jo\u00e3o\u00a0F Henriques, Rui Caseiro, Pedro Martins, and Jorge Batista. 2014. High-speed tracking with kernelized correlation filters. IEEE transactions on pattern analysis and machine intelligence 37, 3 (2014), 583\u2013596."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3153312"},{"key":"e_1_3_2_1_14_1","volume-title":"GlobalTrack: A Simple and Strong Baseline for Long-term Tracking.arXiv: Computer Vision and Pattern Recognition","author":"Huang Lianghua","year":"2019","unstructured":"Lianghua Huang, Xin Zhao, and Kaiqi Huang. 2019. GlobalTrack: A Simple and Strong Baseline for Long-term Tracking.arXiv: Computer Vision and Pattern Recognition (2019)."},{"key":"e_1_3_2_1_15_1","volume-title":"Got-10k: A large high-diversity benchmark for generic object tracking in the wild","author":"Huang Lianghua","year":"2019","unstructured":"Lianghua Huang, Xin Zhao, and Kaiqi Huang. 2019. Got-10k: A large high-diversity benchmark for generic object tracking in the wild. IEEE transactions on pattern analysis and machine intelligence 43, 5 (2019), 1562\u20131577."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2516982"},{"key":"e_1_3_2_1_17_1","unstructured":"Matej Kristan Roman Pflugfelder Ales Leonardis Jiri Matas Fatih Porikli Luka Cehovin Georg Nebehay Gustavo Fernandez Tomas Vojir 2014. The vot2013 challenge: overview and additional results. (2014)."},{"key":"e_1_3_2_1_18_1","volume-title":"Evolution of Siamese Visual Tracking with Very Deep Networks. CoRR abs\/1812.11703","author":"Li Bo","year":"2018","unstructured":"Bo Li, Wei Wu, Qiang Wang, Fangyi Zhang, Junliang Xing, and Junjie Yan. 2018. SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks. CoRR abs\/1812.11703 (2018). arxiv:1812.11703http:\/\/arxiv.org\/abs\/1812.11703"},{"key":"e_1_3_2_1_19_1","volume-title":"High Performance Visual Tracking With Siamese Region Proposal Network. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR).","author":"Li Bo","year":"2018","unstructured":"Bo Li, Junjie Yan, Wei Wu, Zheng Zhu, and Xiaolin Hu. 2018. High Performance Visual Tracking With Siamese Region Proposal Network. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)."},{"key":"e_1_3_2_1_20_1","volume-title":"Deep learning for visual tracking: A comprehensive survey","author":"Marvasti-Zadeh Seyed\u00a0Mojtaba","year":"2021","unstructured":"Seyed\u00a0Mojtaba Marvasti-Zadeh, Li Cheng, Hossein Ghanei-Yakhdan, and Shohreh Kasaei. 2021. Deep learning for visual tracking: A comprehensive survey. IEEE Transactions on Intelligent Transportation Systems (2021)."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00853"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01319"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01246-5_19"},{"key":"e_1_3_2_1_24_1","unstructured":"OpenAI. 2023. GPT-4 Technical Report. arxiv:2303.08774\u00a0[cs.CL]"},{"key":"e_1_3_2_1_25_1","volume-title":"Faster r-cnn: Towards real-time object detection with region proposal networks. Advances in neural information processing systems 28","author":"Ren Shaoqing","year":"2015","unstructured":"Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun. 2015. Faster r-cnn: Towards real-time object detection with region proposal networks. Advances in neural information processing systems 28 (2015)."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00661"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00661"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.312"},{"key":"e_1_3_2_1_29_1","volume-title":"Online Object Tracking: A Benchmark. In 2013 IEEE Conference on Computer Vision and Pattern Recognition. 2411\u20132418","author":"Wu Yi","year":"2013","unstructured":"Yi Wu, Jongwoo Lim, and Ming-Hsuan Yang. 2013. Online Object Tracking: A Benchmark. In 2013 IEEE Conference on Computer Vision and Pattern Recognition. 2411\u20132418."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6944"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20047-2_20"},{"key":"e_1_3_2_1_32_1","volume-title":"Deeper and Wider Siamese Networks for Real-Time Visual Tracking. In 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 4591\u20134600","author":"Zhang Zhipeng","year":"2019","unstructured":"Zhipeng Zhang and Houwen Peng. 2019. Deeper and Wider Siamese Networks for Real-Time Visual Tracking. In 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 4591\u20134600."},{"key":"e_1_3_2_1_33_1","volume-title":"Ocean: Object-aware Anchor-free Tracking. In ECCV (21). 771\u2013787.","author":"Zhang Zhipeng","year":"2020","unstructured":"Zhipeng Zhang and Houwen Peng. 2020. Ocean: Object-aware Anchor-free Tracking. In ECCV (21). 771\u2013787."},{"key":"e_1_3_2_1_34_1","volume-title":"Distractor-aware Siamese Networks for Visual Object Tracking. CoRR abs\/1808.06048","author":"Zhu Zheng","year":"2018","unstructured":"Zheng Zhu, Qiang Wang, Bo Li, Wei Wu, Junjie Yan, and Weiming Hu. 2018. Distractor-aware Siamese Networks for Visual Object Tracking. CoRR abs\/1808.06048 (2018). arxiv:1808.06048http:\/\/arxiv.org\/abs\/1808.06048"}],"event":{"name":"CSAI 2023: 2023 7th International Conference on Computer Science and Artificial Intelligence","location":"Beijing China","acronym":"CSAI 2023"},"container-title":["Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3638584.3638644","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3638584.3638644","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T14:56:42Z","timestamp":1755874602000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3638584.3638644"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,8]]},"references-count":34,"alternative-id":["10.1145\/3638584.3638644","10.1145\/3638584"],"URL":"https:\/\/doi.org\/10.1145\/3638584.3638644","relation":{},"subject":[],"published":{"date-parts":[[2023,12,8]]},"assertion":[{"value":"2024-03-14","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}