{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T02:41:05Z","timestamp":1774579265917,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":49,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,10,12]],"date-time":"2020-10-12T00:00:00Z","timestamp":1602460800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Key Research and Development Program of China","award":["2020AAA0140001"],"award-info":[{"award-number":["2020AAA0140001"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,10,12]]},"DOI":"10.1145\/3394171.3413959","type":"proceedings-article","created":{"date-parts":[[2020,10,12]],"date-time":"2020-10-12T12:26:18Z","timestamp":1602505578000},"page":"565-573","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":13,"title":["Accurate UAV Tracking with Distance-Injected Overlap Maximization"],"prefix":"10.1145","author":[{"given":"Chunhui","family":"Zhang","sequence":"first","affiliation":[{"name":"Institute of Information Engineering, Chinese Academy of Sciences &amp; University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shiming","family":"Ge","sequence":"additional","affiliation":[{"name":"Institute of Information Engineering, Chinese Academy of Sciences &amp; University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kangkai","family":"Zhang","sequence":"additional","affiliation":[{"name":"Institute of Information Engineering, Chinese Academy of Sciences &amp; University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dan","family":"Zeng","sequence":"additional","affiliation":[{"name":"Shanghai Institute of Advanced Communication and Data Science, Shanghai University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,10,12]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-48881-3_56"},{"key":"e_1_3_2_1_2_1","volume-title":"IEEE International Conference on Computer Vision. 6181--6190","author":"Bhat G.","unstructured":"G. Bhat , M. Danelljan , L. V. Gool , and R. Timofte . 2019. Learning discriminative model prediction for tracking . In IEEE International Conference on Computer Vision. 6181--6190 . G. Bhat, M. Danelljan, L. V. Gool, and R. Timofte. 2019. Learning discriminative model prediction for tracking. In IEEE International Conference on Computer Vision. 6181--6190."},{"key":"e_1_3_2_1_3_1","volume-title":"Unveiling the Power of Deep Tracking. In European Conference on Computer Vision. 493--509","author":"Bhat G.","unstructured":"G. Bhat , J. Johnander , M. Danelljan , F. S. Khan , and M. Felsberg . 2018 . Unveiling the Power of Deep Tracking. In European Conference on Computer Vision. 493--509 . G. Bhat, J. Johnander, M. Danelljan, F. S. Khan, and M. Felsberg. 2018. Unveiling the Power of Deep Tracking. In European Conference on Computer Vision. 493--509."},{"key":"e_1_3_2_1_4_1","volume-title":"ECO: Efficient Convolution Operators for Tracking. In IEEE Conference on Computer Vision and Pattern Recognition. 6931--6939","author":"Danelljan M.","unstructured":"M. Danelljan , G. Bhat , F. S. Khan , and M. Felsberg . 2017 . ECO: Efficient Convolution Operators for Tracking. In IEEE Conference on Computer Vision and Pattern Recognition. 6931--6939 . M. Danelljan, G. Bhat, F. S. Khan, and M. Felsberg. 2017. ECO: Efficient Convolution Operators for Tracking. In IEEE Conference on Computer Vision and Pattern Recognition. 6931--6939."},{"key":"e_1_3_2_1_5_1","volume-title":"IEEE Conference on Computer Vision and Pattern Recognition. 4660--4669","author":"Danelljan M.","unstructured":"M. Danelljan , G. Bhat , F. S. Khan , and M. Felsberg . 2019. ATOM: Accurate Tracking by Overlap Maximization . In IEEE Conference on Computer Vision and Pattern Recognition. 4660--4669 . M. Danelljan, G. Bhat, F. S. Khan, and M. Felsberg. 2019. ATOM: Accurate Tracking by Overlap Maximization. In IEEE Conference on Computer Vision and Pattern Recognition. 4660--4669."},{"key":"e_1_3_2_1_6_1","volume-title":"IEEE International Conference on Computer Vision Workshops. 621--629","author":"Danelljan M.","unstructured":"M. Danelljan , G. Hager , F. Shahbaz Khan , and M. Felsberg . 2015. Convolutional features for correlation filter based visual tracking . In IEEE International Conference on Computer Vision Workshops. 621--629 . M. Danelljan, G. Hager, F. Shahbaz Khan, and M. Felsberg. 2015. Convolutional features for correlation filter based visual tracking. In IEEE International Conference on Computer Vision Workshops. 621--629."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2609928"},{"key":"e_1_3_2_1_8_1","volume-title":"European Conference on Computer Vision. 472--488","author":"Danelljan M.","unstructured":"M. Danelljan , A. Robinson , F. S. Khan , and M. Felsberg . 2016. Beyond correlation filters: Learning continuous convolution operators for visual tracking . In European Conference on Computer Vision. 472--488 . M. Danelljan, A. Robinson, F. S. Khan, and M. Felsberg. 2016. Beyond correlation filters: Learning continuous convolution operators for visual tracking. In European Conference on Computer Vision. 472--488."},{"key":"e_1_3_2_1_9_1","volume-title":"European Conference on Computer Vision. 375--391","author":"Du D.","unstructured":"D. Du , Y. Qi , H. Yu , Y. Yang , K. Duan , G. Li , W. Zhang , Q. Huang , and Q. Tian . 2018. The unmanned aerial vehicle benchmark: object detection and tracking . In European Conference on Computer Vision. 375--391 . D. Du, Y. Qi, H. Yu, Y. Yang, K. Duan, G. Li, W. Zhang, Q. Huang, and Q. Tian. 2018. The unmanned aerial vehicle benchmark: object detection and tracking. In European Conference on Computer Vision. 375--391."},{"key":"e_1_3_2_1_10_1","volume-title":"LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking. In IEEE Conference on Computer Vision and Pattern Recognition. 5369--5378","author":"Fan H.","unstructured":"H. Fan , L. Lin , F. Yang , P. Chu , G. Deng , S. Yu , H. Bai , Y. Xu , C. Liao , and H. Ling . 2019 . LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking. In IEEE Conference on Computer Vision and Pattern Recognition. 5369--5378 . H. Fan, L. Lin, F. Yang, P. Chu, G. Deng, S. Yu, H. Bai, Y. Xu, C. Liao, and H. Ling. 2019. LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking. In IEEE Conference on Computer Vision and Pattern Recognition. 5369--5378."},{"key":"e_1_3_2_1_11_1","volume-title":"Parallel Tracking and Verifying: A Framework for Real-Time and High Accuracy Visual Tracking. In IEEE International Conference on Computer Vision. 5487--5495","author":"Fan H.","unstructured":"H. Fan and H. Ling . 2017 . Parallel Tracking and Verifying: A Framework for Real-Time and High Accuracy Visual Tracking. In IEEE International Conference on Computer Vision. 5487--5495 . H. Fan and H. Ling. 2017. Parallel Tracking and Verifying: A Framework for Real-Time and High Accuracy Visual Tracking. In IEEE International Conference on Computer Vision. 5487--5495."},{"key":"e_1_3_2_1_12_1","volume-title":"Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking. In IEEE Conference on Computer Vision and Pattern Recognition. 7952--7961","author":"Fan H.","unstructured":"H. Fan and H. Ling . 2019 . Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking. In IEEE Conference on Computer Vision and Pattern Recognition. 7952--7961 . H. Fan and H. Ling. 2019. Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking. In IEEE Conference on Computer Vision and Pattern Recognition. 7952--7961."},{"key":"e_1_3_2_1_13_1","volume-title":"Robust Scalable Part-Based Visual Tracking for UAV with Background-Aware Correlation Filter. In IEEE International Conference on Robotics and Biomimetics. 2245--2252","author":"Fu C.","unstructured":"C. Fu , Y. Zhang , R. Duan , and Z. Xie . 2018 . Robust Scalable Part-Based Visual Tracking for UAV with Background-Aware Correlation Filter. In IEEE International Conference on Robotics and Biomimetics. 2245--2252 . C. Fu, Y. Zhang, R. Duan, and Z. Xie. 2018. Robust Scalable Part-Based Visual Tracking for UAV with Background-Aware Correlation Filter. In IEEE International Conference on Robotics and Biomimetics. 2245--2252."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2950508"},{"key":"e_1_3_2_1_15_1","volume-title":"IEEE Conference on Computer Vision and Pattern Recognition. 4834--4843","author":"He A.","unstructured":"A. He , C. Luo , X. Tian , and W. Zeng . 2018. A Twofold Siamese Network for Real-Time Object Tracking . In IEEE Conference on Computer Vision and Pattern Recognition. 4834--4843 . A. He, C. Luo, X. Tian, and W. Zeng. 2018. A Twofold Siamese Network for Real-Time Object Tracking. In IEEE Conference on Computer Vision and Pattern Recognition. 4834--4843."},{"key":"e_1_3_2_1_16_1","volume-title":"IEEE Conference on Computer Vision and Pattern Recognition. 770--778","author":"He K.","unstructured":"K. He , X. Zhang , S. Ren , and J. Sun . 2016. Deep residual learning for image recognition . In IEEE Conference on Computer Vision and Pattern Recognition. 770--778 . K. He, X. Zhang, S. Ren, and J. Sun. 2016. Deep residual learning for image recognition. In IEEE Conference on Computer Vision and Pattern Recognition. 770--778."},{"key":"e_1_3_2_1_17_1","volume-title":"European Conference on Computer Vision. 749--765","author":"Held D.","unstructured":"D. Held , S. Thrun , and S. Savarese . 2016. Learning to Track at 100 FPS with Deep Regression Networks . In European Conference on Computer Vision. 749--765 . D. Held, S. Thrun, and S. Savarese. 2016. Learning to Track at 100 FPS with Deep Regression Networks. In European Conference on Computer Vision. 749--765."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2345390"},{"key":"e_1_3_2_1_19_1","volume-title":"Squeeze-and-Excitation Networks. In IEEE Conference on Computer Vision and Pattern Recognition. 7132--7141","author":"Hu J.","unstructured":"J. Hu , L. Shen , and G. Sun . 2018 . Squeeze-and-Excitation Networks. In IEEE Conference on Computer Vision and Pattern Recognition. 7132--7141 . J. Hu, L. Shen, and G. Sun. 2018. Squeeze-and-Excitation Networks. In IEEE Conference on Computer Vision and Pattern Recognition. 7132--7141."},{"key":"e_1_3_2_1_20_1","volume-title":"Learning Aberrance Repressed Correlation Filters for Real-Time UAV Tracking. In IEEE International Conference on Computer Vision. 2891--2900","author":"Huang Z.","unstructured":"Z. Huang , C. Fu , Y. Li , F. Lin , and P. Lu . 2019 . Learning Aberrance Repressed Correlation Filters for Real-Time UAV Tracking. In IEEE International Conference on Computer Vision. 2891--2900 . Z. Huang, C. Fu, Y. Li, F. Lin, and P. Lu. 2019. Learning Aberrance Repressed Correlation Filters for Real-Time UAV Tracking. In IEEE International Conference on Computer Vision. 2891--2900."},{"key":"e_1_3_2_1_21_1","volume-title":"European Conference on Computer Vision. 816--832","author":"Jiang B.","unstructured":"B. Jiang , R. Luo , J. Mao , T. Xiao , and Y. Jiang . 2018. Acquisition of localization confidence for accurate object detection . In European Conference on Computer Vision. 816--832 . B. Jiang, R. Luo, J. Mao, T. Xiao, and Y. Jiang. 2018. Acquisition of localization confidence for accurate object detection. In European Conference on Computer Vision. 816--832."},{"key":"e_1_3_2_1_22_1","volume-title":"European Conference on Computer Vision Workshops. 3--53","author":"Kristan M.","year":"2018","unstructured":"M. Kristan , A. Leonardis , J. Matas , and \u03b7l. 2018 . The sixth visual object tracking vot2018 challenge results . In European Conference on Computer Vision Workshops. 3--53 . M. Kristan, A. Leonardis, J. Matas, and \u03b7l. 2018. The sixth visual object tracking vot2018 challenge results. In European Conference on Computer Vision Workshops. 3--53."},{"key":"e_1_3_2_1_23_1","volume-title":"IEEE Conference on Computer Vision and Pattern Recognition. 4282--4291","author":"Li B.","unstructured":"B. Li , W. Wu , Q. Wang , F. Zhang , J. Xing , and J. Yan . 2019. SiamRPN+: evolution of siamese visual tracking with very deep networks . In IEEE Conference on Computer Vision and Pattern Recognition. 4282--4291 . B. Li, W. Wu, Q. Wang, F. Zhang, J. Xing, and J. Yan. 2019. SiamRPN+: evolution of siamese visual tracking with very deep networks. In IEEE Conference on Computer Vision and Pattern Recognition. 4282--4291."},{"key":"e_1_3_2_1_24_1","volume-title":"High Performance Visual Tracking with Siamese Region Proposal Network. In IEEE Conference on Computer Vision and Pattern Recognition. 8971--8980","author":"Li B.","unstructured":"B. Li , J. Yan , W. Wu , and J. Yan . 2018 . High Performance Visual Tracking with Siamese Region Proposal Network. In IEEE Conference on Computer Vision and Pattern Recognition. 8971--8980 . B. Li, J. Yan, W. Wu, and J. Yan. 2018. High Performance Visual Tracking with Siamese Region Proposal Network. In IEEE Conference on Computer Vision and Pattern Recognition. 8971--8980."},{"key":"e_1_3_2_1_25_1","volume-title":"AAAI Conference on Artificial Intelligenc. 4140--4146","author":"Li S.","unstructured":"S. Li and D. Y. Yeung . 2017. Visual object tracking for unmanned aerial vehicles: A benchmark and new motion models . In AAAI Conference on Artificial Intelligenc. 4140--4146 . S. Li and D. Y. Yeung. 2017. Visual object tracking for unmanned aerial vehicles: A benchmark and new motion models. In AAAI Conference on Artificial Intelligenc. 4140--4146."},{"key":"e_1_3_2_1_26_1","volume-title":"European Conference on Computer Vision Workshops. 254--265","author":"Li Y.","unstructured":"Y. Li and J. Zhu . 2014. A scale adaptive kernel correlation filter tracker with feature integration . In European Conference on Computer Vision Workshops. 254--265 . Y. Li and J. Zhu. 2014. A scale adaptive kernel correlation filter tracker with feature integration. In European Conference on Computer Vision Workshops. 254--265."},{"key":"e_1_3_2_1_27_1","volume-title":"European Conference on Computer Vision. 740--755","author":"Lin T.","unstructured":"T. Lin , M. Maire , S. J. Belongie , J. Hays , P. Perona , D. Ramanan , P. Doll\u00e1r , and C. L. Zitnick . 2014. Microsoft COCO: common objects in context . In European Conference on Computer Vision. 740--755 . T. Lin, M. Maire, S. J. Belongie, J. Hays, P. Perona, D. Ramanan, P. Doll\u00e1r, and C. L. Zitnick. 2014. Microsoft COCO: common objects in context. In European Conference on Computer Vision. 740--755."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"crossref","unstructured":"Z. Liu L. Cheng A. Liu L. Zhang X. He and R. Zimmermann. 2017. Multiview and Multimodal Pervasive Indoor Localization. In ACM Multimedia. 109--117.  Z. Liu L. Cheng A. Liu L. Zhang X. He and R. Zimmermann. 2017. Multiview and Multimodal Pervasive Indoor Localization. In ACM Multimedia. 109--117.","DOI":"10.1145\/3123266.3123436"},{"key":"e_1_3_2_1_29_1","volume-title":"IEEE International Conference on Computer Vision. 3074--3082","author":"Ma C.","unstructured":"C. Ma , J. Huang , X. Yang , and M. H. Yang . 2015. Hierarchical convolutional features for visual tracking . In IEEE International Conference on Computer Vision. 3074--3082 . C. Ma, J. Huang, X. Yang, and M. H. Yang. 2015. Hierarchical convolutional features for visual tracking. In IEEE International Conference on Computer Vision. 3074--3082."},{"key":"e_1_3_2_1_30_1","volume-title":"European Conference on Computer Vision. 445--461","author":"Matthias M.","unstructured":"M. Matthias , S. Neil , and G. Bernard . 2016. A benchmark and simulator for uav tracking . In European Conference on Computer Vision. 445--461 . M. Matthias, S. Neil, and G. Bernard. 2016. A benchmark and simulator for uav tracking. In European Conference on Computer Vision. 445--461."},{"key":"e_1_3_2_1_31_1","volume-title":"IEEE Conference on Computer Vision and Pattern Recognition. 4293--4302","author":"Nam H.","unstructured":"H. Nam and B. Han . 2016. Learning multi-domain convolutional neural networks for visual tracking . In IEEE Conference on Computer Vision and Pattern Recognition. 4293--4302 . H. Nam and B. Han. 2016. Learning multi-domain convolutional neural networks for visual tracking. In IEEE Conference on Computer Vision and Pattern Recognition. 4293--4302."},{"key":"e_1_3_2_1_32_1","volume-title":"IEEE Conference on Computer Vision and Pattern Recognition. 2113--2120","author":"Possegger H.","unstructured":"H. Possegger , T. Mauthner , and H. Bischof . 2015. In defense of color-based model-free tracking . In IEEE Conference on Computer Vision and Pattern Recognition. 2113--2120 . H. Possegger, T. Mauthner, and H. Bischof. 2015. In defense of color-based model-free tracking. In IEEE Conference on Computer Vision and Pattern Recognition. 2113--2120."},{"key":"e_1_3_2_1_33_1","volume-title":"Hedged Deep Tracking. In IEEE Conference on Computer Vision and Pattern Recognition. 4303--4311","author":"Qi Y.","unstructured":"Y. Qi , S. Zhang , L. Qin , H. Yao , Q. Huang , J. Lim , and M. H. Yang . 2016 . Hedged Deep Tracking. In IEEE Conference on Computer Vision and Pattern Recognition. 4303--4311 . Y. Qi, S. Zhang, L. Qin, H. Yao, Q. Huang, J. Lim, and M. H. Yang. 2016. Hedged Deep Tracking. In IEEE Conference on Computer Vision and Pattern Recognition. 4303--4311."},{"key":"e_1_3_2_1_34_1","volume-title":"International Journal of Computer Vision","author":"Russakovsky O.","year":"2015","unstructured":"O. Russakovsky , J. Deng , H. Su , and \u03b7l. 2015. ImageNet Large Scale Visual Recognition Challenge . International Journal of Computer Vision ( 2015 ), 211--252. O. Russakovsky, J. Deng, H. Su, and \u03b7l. 2015. ImageNet Large Scale Visual Recognition Challenge. International Journal of Computer Vision (2015), 211--252."},{"key":"e_1_3_2_1_35_1","volume-title":"IEEE International Conference on Computer Vision. 2574--2583","author":"Song Y.","unstructured":"Y. Song , C. Ma , L. Gong , J. Zhang , R. Lau , and M. H. Yang . 2017. CREST: Convolutional residual learning for visual tracking . In IEEE International Conference on Computer Vision. 2574--2583 . Y. Song, C. Ma, L. Gong, J. Zhang, R. Lau, and M. H. Yang. 2017. CREST: Convolutional residual learning for visual tracking. In IEEE International Conference on Computer Vision. 2574--2583."},{"key":"e_1_3_2_1_36_1","volume-title":"Vital: Visual tracking via adversarial learning","author":"Song Y.","year":"2018","unstructured":"Y. Song , C. Ma , X. Wu , L. Gong , L. Bao , W. Zuo , C. Shen , R. Lau , and M. H. Yang . 2018 . Vital: Visual tracking via adversarial learning . In IEEE Confernce on Computer Vision and Pattern Recognition . 8990--8999. Y. Song, C. Ma, X. Wu, L. Gong, L. Bao, W. Zuo, C. Shen, R. Lau, and M. H. Yang. 2018. Vital: Visual tracking via adversarial learning. In IEEE Confernce on Computer Vision and Pattern Recognition. 8990--8999."},{"key":"e_1_3_2_1_37_1","volume-title":"IEEE Conference on Computer Vision and Pattern Recognition. 8962--8970","author":"Sun C.","unstructured":"C. Sun , H. Lu , and M. H. Yang . 2018. Learning spatial-aware regressions for visual tracking . In IEEE Conference on Computer Vision and Pattern Recognition. 8962--8970 . C. Sun, H. Lu, and M. H. Yang. 2018. Learning spatial-aware regressions for visual tracking. In IEEE Conference on Computer Vision and Pattern Recognition. 8962--8970."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.531"},{"key":"e_1_3_2_1_39_1","unstructured":"N. Wang J. Shi A. Gupta and D. Y. Yeung. 2015a. Transferring rich feature hierarchies for robust visual tracking. In arXiv.  N. Wang J. Shi A. Gupta and D. Y. Yeung. 2015a. Transferring rich feature hierarchies for robust visual tracking. In arXiv."},{"key":"e_1_3_2_1_40_1","volume-title":"IEEE International Conference on Computer Vision. 3101--3109","author":"Wang N.","unstructured":"N. Wang , J. Shi , D. Y. Yeung , and J. Jia . 2015b. Understanding and diagnosing visual tracking systems . In IEEE International Conference on Computer Vision. 3101--3109 . N. Wang, J. Shi, D. Y. Yeung, and J. Jia. 2015b. Understanding and diagnosing visual tracking systems. In IEEE International Conference on Computer Vision. 3101--3109."},{"key":"e_1_3_2_1_41_1","volume-title":"Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking. In IEEE Conference on Computer Vision and Pattern Recognition. 4854--4863","author":"Wang Q.","unstructured":"Q. Wang , Z. Teng , J. Xing , J. Gao , W. Hu , and S. Maybank . 2018a . Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking. In IEEE Conference on Computer Vision and Pattern Recognition. 4854--4863 . Q. Wang, Z. Teng, J. Xing, J. Gao, W. Hu, and S. Maybank. 2018a. Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking. In IEEE Conference on Computer Vision and Pattern Recognition. 4854--4863."},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00142"},{"key":"e_1_3_2_1_43_1","volume-title":"AAAI Conference on Artificial Intelligence. 985--991","author":"Wang Q.","unstructured":"Q. Wang , M. Zhang , J. Xing , J. Gao , W. Hu , and S. J. Maybank . 2018b. Do not Lose the Details: Reinforced Representation Learning for High Performance Visual Tracking . In AAAI Conference on Artificial Intelligence. 985--991 . Q. Wang, M. Zhang, J. Xing, J. Gao, W. Hu, and S. J. Maybank. 2018b. Do not Lose the Details: Reinforced Representation Learning for High Performance Visual Tracking. In AAAI Conference on Artificial Intelligence. 985--991."},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2388226"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2919201"},{"key":"e_1_3_2_1_46_1","volume-title":"European Conference on Computer Vision. 188--203","author":"Zhang J.","unstructured":"J. Zhang , S. Ma , and S. Sclaroff . 2014. MEEM: Robust Tracking via Multiple Experts using Entropy Minimization . In European Conference on Computer Vision. 188--203 . J. Zhang, S. Ma, and S. Sclaroff. 2014. MEEM: Robust Tracking via Multiple Experts using Entropy Minimization. In European Conference on Computer Vision. 188--203."},{"key":"e_1_3_2_1_47_1","volume-title":"Deeper and Wider Siamese Networks for Real-Time Visual Tracking. In IEEE Conference on Computer Vision and Pattern Recognition. 4591--4600","author":"Zhang Z.","unstructured":"Z. Zhang , H. Peng , and Q. Wang . 2019 . Deeper and Wider Siamese Networks for Real-Time Visual Tracking. In IEEE Conference on Computer Vision and Pattern Recognition. 4591--4600 . Z. Zhang, H. Peng, and Q. Wang. 2019. Deeper and Wider Siamese Networks for Real-Time Visual Tracking. In IEEE Conference on Computer Vision and Pattern Recognition. 4591--4600."},{"key":"e_1_3_2_1_48_1","unstructured":"P. Zhu L. Wen X. Bian and Q. Hu H. Ling. 2018b. Vision Meets Drones: A Challenge. In arXiv.  P. Zhu L. Wen X. Bian and Q. Hu H. Ling. 2018b. Vision Meets Drones: A Challenge. In arXiv."},{"key":"e_1_3_2_1_49_1","volume-title":"Distractor-aware Siamese Networks for Visual Object Tracking. In European Conference on Computer Vision. 103--119","author":"Zhu Z.","year":"2018","unstructured":"Z. Zhu , Q. Wang , B. Li , and W. Hu W. Wu , J. Yan . 2018 a. Distractor-aware Siamese Networks for Visual Object Tracking. In European Conference on Computer Vision. 103--119 . Z. Zhu, Q. Wang, B. Li, and W. Hu W. Wu, J. Yan. 2018a. Distractor-aware Siamese Networks for Visual Object Tracking. In European Conference on Computer Vision. 103--119."}],"event":{"name":"MM '20: The 28th ACM International Conference on Multimedia","location":"Seattle WA USA","acronym":"MM '20","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 28th ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394171.3413959","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3394171.3413959","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:32:07Z","timestamp":1750195927000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394171.3413959"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,12]]},"references-count":49,"alternative-id":["10.1145\/3394171.3413959","10.1145\/3394171"],"URL":"https:\/\/doi.org\/10.1145\/3394171.3413959","relation":{},"subject":[],"published":{"date-parts":[[2020,10,12]]},"assertion":[{"value":"2020-10-12","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}