{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T00:07:34Z","timestamp":1767830854801,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":28,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,9,24]],"date-time":"2021-09-24T00:00:00Z","timestamp":1632441600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Department of Science and Technology of Hubei Province of China","award":["2019AAA045"],"award-info":[{"award-number":["2019AAA045"]}]},{"name":"Department of Education of Hubei Province of China","award":["D20181504"],"award-info":[{"award-number":["D20181504"]}]},{"DOI":"10.13039\/501100008869","name":"Wuhan Institute of Technology","doi-asserted-by":"publisher","award":["CX2020208"],"award-info":[{"award-number":["CX2020208"]}],"id":[{"id":"10.13039\/501100008869","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,9,24]]},"DOI":"10.1145\/3488933.3489037","type":"proceedings-article","created":{"date-parts":[[2022,2,25]],"date-time":"2022-02-25T11:36:59Z","timestamp":1645789019000},"page":"165-171","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["One Shot Object Detection with Mutual Global Context"],"prefix":"10.1145","author":[{"given":"Shihai","family":"Jia","sequence":"first","affiliation":[{"name":"Hubei Key Laboratory of Intelligent Robot,School of Computer ScienceampEngineering,, Wuhan Institute of Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tongwei","family":"Lu","sequence":"additional","affiliation":[{"name":"Hubei Key Laboratory of Intelligent Robot,School of Computer ScienceampEngineering,, Wuhan Institute of Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Hubei Key Laboratory of Intelligent Robot,School of Computer ScienceampEngineering,, Wuhan Institute of Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,2,25]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"1980","volume-title":"Gcnet: Non-local networks meet squeeze-excitation networks and beyond","author":"Cao Yue","year":"2019","unstructured":"Yue Cao , Jiarui Xu , Stephen Lin , Fangyun Wei , and Han Hu . Gcnet: Non-local networks meet squeeze-excitation networks and beyond . pages 1971\u2013 1980 , 10 2019 . Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, and Han Hu. Gcnet: Non-local networks meet squeeze-excitation networks and beyond. pages 1971\u20131980, 10 2019."},{"key":"e_1_3_2_1_2_1","first-page":"3722","volume-title":"Fully convolutional siamese fusion networks for object tracking","author":"Cen Miaobin","year":"2018","unstructured":"Miaobin Cen and Cheolkon Jung . Fully convolutional siamese fusion networks for object tracking . pages 3718\u2013 3722 , 10 2018 . Miaobin Cen and Cheolkon Jung. Fully convolutional siamese fusion networks for object tracking. pages 3718\u2013 3722, 10 2018."},{"key":"e_1_3_2_1_3_1","volume-title":"Lstd: A low-shot transfer detector for object detection. 03","author":"Chen Hao","year":"2018","unstructured":"Hao Chen , Yali Wang , Guoyou Wang , and Yu Qiao . Lstd: A low-shot transfer detector for object detection. 03 2018 . Hao Chen, Yali Wang, Guoyou Wang, and Yu Qiao. Lstd: A low-shot transfer detector for object detection. 03 2018."},{"key":"e_1_3_2_1_4_1","volume-title":"International Conference on Machine Learning Challenges: Evaluating Predictive Uncertainty Visual Object Classification","author":"Everingham M.","year":"2010","unstructured":"M. Everingham and C. Williams . The pascal visual object classes challenge 2010 (voc2010) part 1 \u2013 challenge classification task . In International Conference on Machine Learning Challenges: Evaluating Predictive Uncertainty Visual Object Classification , 2010 . M. Everingham and C. Williams. The pascal visual object classes challenge 2010 (voc2010) part 1 \u2013 challenge classification task. In International Conference on Machine Learning Challenges: Evaluating Predictive Uncertainty Visual Object Classification, 2010."},{"key":"e_1_3_2_1_5_1","volume-title":"Model-agnostic meta-learning for fast adaptation of deep networks. 03","author":"Finn Chelsea","year":"2017","unstructured":"Chelsea Finn , Pieter Abbeel , and Sergey Levine . Model-agnostic meta-learning for fast adaptation of deep networks. 03 2017 . Chelsea Finn, Pieter Abbeel, and Sergey Levine. Model-agnostic meta-learning for fast adaptation of deep networks. 03 2017."},{"key":"e_1_3_2_1_6_1","volume-title":"Meta-learning with warped gradient descent, 08","author":"Flennerhag Sebastian","year":"2019","unstructured":"Sebastian Flennerhag , Andrei Rusu , Razvan Pascanu , Hujun Yin , and Raia Hadsell . Meta-learning with warped gradient descent, 08 2019 . Sebastian Flennerhag, Andrei Rusu, Razvan Pascanu, Hujun Yin, and Raia Hadsell. Meta-learning with warped gradient descent, 08 2019."},{"key":"e_1_3_2_1_7_1","first-page":"1448","volume-title":"Fast r-cnn","author":"Girshick R.","year":"2015","unstructured":"R. Girshick . Fast r-cnn . pages 1440\u2013 1448 , 2015 . R. Girshick. Fast r-cnn. pages 1440\u20131448, 2015."},{"key":"e_1_3_2_1_8_1","article-title":"Mask r-cnn","author":"He Kaiming","year":"2017","unstructured":"Kaiming He , Georgia Gkioxari , Piotr Doll\u00e1r , and Ross Girshick . Mask r-cnn . IEEE Transactions on Pattern Analysis & Machine Intelligence , 2017 . Kaiming He, Georgia Gkioxari, Piotr Doll\u00e1r, and Ross Girshick. Mask r-cnn. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2017.","journal-title":"IEEE Transactions on Pattern Analysis & Machine Intelligence"},{"key":"e_1_3_2_1_9_1","first-page":"778","volume-title":"Deep residual learning for image recognition","author":"He K.","year":"2016","unstructured":"K. He , X. Zhang , S. Ren , and J. Sun . Deep residual learning for image recognition . pages 770\u2013 778 , 2016 . K. He, X. Zhang, S. Ren, and J. Sun. Deep residual learning for image recognition. pages 770\u2013778, 2016."},{"key":"e_1_3_2_1_10_1","volume-title":"One-shot object detection with co-attention and co-excitation. 11","author":"Hsieh I","year":"2019","unstructured":"Ting- I Hsieh , Yi-Chen Lo , Hwann-Tzong Chen , and Tyng-Luh Liu . One-shot object detection with co-attention and co-excitation. 11 2019 . Ting-I Hsieh, Yi-Chen Lo, Hwann-Tzong Chen, and Tyng-Luh Liu. One-shot object detection with co-attention and co-excitation. 11 2019."},{"key":"e_1_3_2_1_11_1","first-page":"7141","volume-title":"Squeeze-and-excitation networks","author":"Hu Jie","year":"2018","unstructured":"Jie Hu , Li Shen , and Gang Sun . Squeeze-and-excitation networks . pages 7132\u2013 7141 , 06 2018 . Jie Hu, Li Shen, and Gang Sun. Squeeze-and-excitation networks. pages 7132\u20137141, 06 2018."},{"key":"e_1_3_2_1_12_1","first-page":"8428","volume-title":"Few-shot object detection via feature reweighting","author":"Kang Bingyi","year":"2019","unstructured":"Bingyi Kang , Zhuang Liu , Xin Wang , Fisher Yu , Jiashi Feng , and Trevor Darrell . Few-shot object detection via feature reweighting . pages 8419\u2013 8428 , 10 2019 . Bingyi Kang, Zhuang Liu, Xin Wang, Fisher Yu, Jiashi Feng, and Trevor Darrell. Few-shot object detection via feature reweighting. pages 8419\u20138428, 10 2019."},{"key":"e_1_3_2_1_13_1","volume-title":"Imagenet classification with deep convolutional neural networks","author":"Krizhevsky Alex","year":"2012","unstructured":"Alex Krizhevsky , I. Sutskever , and G. Hinton . Imagenet classification with deep convolutional neural networks . 2012 . Alex Krizhevsky, I. Sutskever, and G. Hinton. Imagenet classification with deep convolutional neural networks. 2012."},{"key":"e_1_3_2_1_14_1","first-page":"8980","volume-title":"High performance visual tracking with siamese region proposal network","author":"Li Bo","year":"2018","unstructured":"Bo Li , Junjie Yan , Wei Wu , Zhu Zheng , and Xiaolin Hu . High performance visual tracking with siamese region proposal network . pages 8971\u2013 8980 , 06 2018 . Bo Li, Junjie Yan, Wei Wu, Zhu Zheng, and Xiaolin Hu. High performance visual tracking with siamese region proposal network. pages 8971\u20138980, 06 2018."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2652459"},{"key":"e_1_3_2_1_16_1","volume-title":"Microsoft coco: Common objects in context, 04","author":"Lin Tsung-Yi","year":"2014","unstructured":"Tsung-Yi Lin , Michael Maire , Serge Belongie , James Hays , Pietro Perona , Deva Ramanan , Piotr Doll\u00e1r , and C. Zitnick . Microsoft coco: Common objects in context, 04 2014 . Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Doll\u00e1r, and C. Zitnick. Microsoft coco: Common objects in context, 04 2014."},{"key":"e_1_3_2_1_17_1","volume-title":"Ssd: Single shot multibox detector. 9905:21\u201337, 10","author":"Liu Wei","year":"2016","unstructured":"Wei Liu , Dragomir Anguelov , Dumitru Erhan , Christian Szegedy , Scott Reed , Cheng-Yang Fu , and Alexander Berg . Ssd: Single shot multibox detector. 9905:21\u201337, 10 2016 . Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander Berg. Ssd: Single shot multibox detector. 9905:21\u201337, 10 2016."},{"key":"e_1_3_2_1_18_1","volume-title":"One-shot instance segmentation. 11","author":"Michaelis Claudio","year":"2018","unstructured":"Claudio Michaelis , Ivan Ustyuzhaninov , Matthias Bethge , and Alexander Ecker . One-shot instance segmentation. 11 2018 . Claudio Michaelis, Ivan Ustyuzhaninov, Matthias Bethge, and Alexander Ecker. One-shot instance segmentation. 11 2018."},{"key":"e_1_3_2_1_19_1","first-page":"788","volume-title":"You only look once: Unified, real-time object detection","author":"Redmon Joseph","year":"2016","unstructured":"Joseph Redmon , Santosh Divvala , Ross Girshick , and Ali Farhadi . You only look once: Unified, real-time object detection . pages 779\u2013 788 , 06 2016 . Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi. You only look once: Unified, real-time object detection. pages 779\u2013788, 06 2016."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2016.2577031"},{"key":"e_1_3_2_1_21_1","volume-title":"Meta-learning with latent embedding optimization, 07","author":"Rusu Andrei","year":"2018","unstructured":"Andrei Rusu , Dushyant Rao , Jakub Sygnowski , Oriol Vinyals , Razvan Pascanu , Simon Osindero , and Raia Hadsell . Meta-learning with latent embedding optimization, 07 2018 . Andrei Rusu, Dushyant Rao, Jakub Sygnowski, Oriol Vinyals, Razvan Pascanu, Simon Osindero, and Raia Hadsell. Meta-learning with latent embedding optimization, 07 2018."},{"key":"e_1_3_2_1_22_1","volume-title":"Repmet: Representative-based metric learning for classification and one-shot object detection. 06","author":"Schwartz Eli","year":"2018","unstructured":"Eli Schwartz , Leonid Karlinsky , Joseph Shtok , Sivan Harary , Mattias Marder , Sharathchandra Pankanti , Rogerio Feris , Abhishek Kumar , Raja Giries , and Alex Bronstein . Repmet: Representative-based metric learning for classification and one-shot object detection. 06 2018 . Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Sharathchandra Pankanti, Rogerio Feris, Abhishek Kumar, Raja Giries, and Alex Bronstein. Repmet: Representative-based metric learning for classification and one-shot object detection. 06 2018."},{"key":"e_1_3_2_1_23_1","volume-title":"International Conference on Learning Representations (ICLR) (Banff), 12","author":"Sermanet Pierre","year":"2013","unstructured":"Pierre Sermanet , David Eigen , Xiang Zhang , Michael Mathieu , Rob Fergus , and Yann Lecun . Overfeat : Integrated recognition, localization and detection using convolutional networks . International Conference on Learning Representations (ICLR) (Banff), 12 2013 . Pierre Sermanet, David Eigen, Xiang Zhang, Michael Mathieu, Rob Fergus, and Yann Lecun. Overfeat: Integrated recognition, localization and detection using convolutional networks. International Conference on Learning Representations (ICLR) (Banff), 12 2013."},{"key":"e_1_3_2_1_24_1","volume-title":"Prototypical networks for few-shot learning. 03","author":"Snell Jake","year":"2017","unstructured":"Jake Snell , Kevin Swersky , and Richard Zemel . Prototypical networks for few-shot learning. 03 2017 . Jake Snell, Kevin Swersky, and Richard Zemel. Prototypical networks for few-shot learning. 03 2017."},{"key":"e_1_3_2_1_25_1","first-page":"1208","volume-title":"Learning to compare: Relation network for few-shot learning","author":"Sung Flood","year":"2018","unstructured":"Flood Sung , Yongxin Yang , Li Zhang , Tao Xiang , Philip Torr , and Timothy Hospedales . Learning to compare: Relation network for few-shot learning . pages 1199\u2013 1208 , 06 2018 . Flood Sung, Yongxin Yang, Li Zhang, Tao Xiang, Philip Torr, and Timothy Hospedales. Learning to compare: Relation network for few-shot learning. pages 1199\u20131208, 06 2018."},{"key":"e_1_3_2_1_26_1","volume-title":"Matching networks for one shot learning. 06","author":"Vinyals Oriol","year":"2016","unstructured":"Oriol Vinyals , Charles Blundell , Timothy Lillicrap , Koray Kavukcuoglu , and Daan Wierstra . Matching networks for one shot learning. 06 2016 . Oriol Vinyals, Charles Blundell, Timothy Lillicrap, Koray Kavukcuoglu, and Daan Wierstra. Matching networks for one shot learning. 06 2016."},{"key":"e_1_3_2_1_27_1","first-page":"7803","volume-title":"Non-local neural networks","author":"Wang Xiaolong","year":"2018","unstructured":"Xiaolong Wang , Ross Girshick , Harikrishna Mulam , and Kaiming He . Non-local neural networks . pages 7794\u2013 7803 , 06 2018 . Xiaolong Wang, Ross Girshick, Harikrishna Mulam, and Kaiming He. Non-local neural networks. pages 7794\u2013 7803, 06 2018."},{"key":"e_1_3_2_1_28_1","volume-title":"Comparison network for one-shot conditional object detection. 04","author":"Zhang Tengfei","year":"2019","unstructured":"Tengfei Zhang , Yue Zhang , Xian Sun , Hao Sun , Menglong Yan , Xue Yang , and Kun Fu . Comparison network for one-shot conditional object detection. 04 2019 . Tengfei Zhang, Yue Zhang, Xian Sun, Hao Sun, Menglong Yan, Xue Yang, and Kun Fu. Comparison network for one-shot conditional object detection. 04 2019."}],"event":{"name":"AIPR 2021: 2021 4th International Conference on Artificial Intelligence and Pattern Recognition","location":"Xiamen China","acronym":"AIPR 2021"},"container-title":["2021 4th International Conference on Artificial Intelligence and Pattern Recognition"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3488933.3489037","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3488933.3489037","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:49:00Z","timestamp":1750193340000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3488933.3489037"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,24]]},"references-count":28,"alternative-id":["10.1145\/3488933.3489037","10.1145\/3488933"],"URL":"https:\/\/doi.org\/10.1145\/3488933.3489037","relation":{},"subject":[],"published":{"date-parts":[[2021,9,24]]},"assertion":[{"value":"2022-02-25","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}