{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T07:38:17Z","timestamp":1763105897701,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":67,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T00:00:00Z","timestamp":1665360000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"the Ram\u00f3n y Cajal grant","award":["RYC2019-027020-I"],"award-info":[{"award-number":["RYC2019-027020-I"]}]},{"name":"MCIN\/AEI\/10.13039\/501100011033","award":["PID2021-128178OB-I00"],"award-info":[{"award-number":["PID2021-128178OB-I00"]}]},{"name":"National Science Foundation of China","award":["U19B2037, 61901384"],"award-info":[{"award-number":["U19B2037, 61901384"]}]},{"DOI":"10.13039\/501100004543","name":"China Scholarship Council","doi-asserted-by":"publisher","award":["202006290209, 201906290067"],"award-info":[{"award-number":["202006290209, 201906290067"]}],"id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]},{"name":"ERDF ?A way of making Europe?"},{"DOI":"10.13039\/501100017596","name":"Natural Science Basic Research Program of Shaanxi Province","doi-asserted-by":"publisher","award":["2021JCW-03"],"award-info":[{"award-number":["2021JCW-03"]}],"id":[{"id":"10.13039\/501100017596","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,10,10]]},"DOI":"10.1145\/3503161.3548191","type":"proceedings-article","created":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T15:43:12Z","timestamp":1665416592000},"page":"6539-6548","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["SlimSeg: Slimmable Semantic Segmentation with Boundary Supervision"],"prefix":"10.1145","author":[{"given":"Danna","family":"Xue","sequence":"first","affiliation":[{"name":"Northwestern Polytechnical University & Computer Vision Center, Universitat Aut\u00f2noma de Barcelona, Xi'an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fei","family":"Yang","sequence":"additional","affiliation":[{"name":"Computer Vision Center, Universitat Aut\u00f2noma de Barcelona, Barcelona, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pei","family":"Wang","sequence":"additional","affiliation":[{"name":"Northwestern Polytechnical University, Xi'an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luis","family":"Herranz","sequence":"additional","affiliation":[{"name":"Computer Vision Center, Universitat Aut\u00f2noma de Barcelona, Barcelona, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinqiu","family":"Sun","sequence":"additional","affiliation":[{"name":"Northwestern Polytechnical University, Xi'an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Zhu","sequence":"additional","affiliation":[{"name":"Northwestern Polytechnical University, Xi'an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanning","family":"Zhang","sequence":"additional","affiliation":[{"name":"Northwestern Polytechnical University, Xi'an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,10,10]]},"reference":[{"doi-asserted-by":"publisher","key":"e_1_3_2_2_1_1","DOI":"10.1007\/978-3-540-88682-2_5"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_2_1","DOI":"10.1007\/978-3-030-01234-2_49"},{"key":"e_1_3_2_2_3_1","volume-title":"FasterSeg: Searching for Faster Real-time Semantic Segmentation. In International Conference on Learning Representations.","author":"Chen Wuyang","year":"2020","unstructured":"Wuyang Chen , Xinyu Gong , Xianming Liu , Qian Zhang , Yuan Li , and Zhangyang Wang . 2020 . FasterSeg: Searching for Faster Real-time Semantic Segmentation. In International Conference on Learning Representations. Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, and Zhangyang Wang. 2020. FasterSeg: Searching for Faster Real-time Semantic Segmentation. In International Conference on Learning Representations."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_4_1","DOI":"10.1109\/CVPR.2019.00939"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_5_1","DOI":"10.1109\/CVPR.2016.350"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_6_1","DOI":"10.1109\/CVPR.2009.5206848"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_7_1","DOI":"10.1109\/ICCV.2019.00692"},{"unstructured":"Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai Thomas Unterthiner Mostafa Dehghani Matthias Minderer Georg Heigold Sylvain Gelly etal 2020. An image is worth 16x16 words: Transformers for image recognition at scale. arXiv preprint arXiv:2010.11929 (2020).  Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai Thomas Unterthiner Mostafa Dehghani Matthias Minderer Georg Heigold Sylvain Gelly et al. 2020. An image is worth 16x16 words: Transformers for image recognition at scale. arXiv preprint arXiv:2010.11929 (2020).","key":"e_1_3_2_2_8_1"},{"key":"e_1_3_2_2_9_1","volume-title":"Christopher KI Williams, John Winn, and Andrew Zisserman.","author":"Everingham Mark","year":"2010","unstructured":"Mark Everingham , Luc Van Gool , Christopher KI Williams, John Winn, and Andrew Zisserman. 2010 . The pascal visual object classes (voc) challenge. International journal of computer vision, Vol. 88 , 2 (2010), 303--338. Mark Everingham, Luc Van Gool, Christopher KI Williams, John Winn, and Andrew Zisserman. 2010. The pascal visual object classes (voc) challenge. International journal of computer vision, Vol. 88, 2 (2010), 303--338."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_10_1","DOI":"10.1109\/CVPR46437.2021.00959"},{"key":"e_1_3_2_2_11_1","volume-title":"Rethink Dilated Convolution for Real-time Semantic Segmentation. arXiv preprint arXiv:2111.09957","author":"Gao Roland","year":"2021","unstructured":"Roland Gao . 2021. Rethink Dilated Convolution for Real-time Semantic Segmentation. arXiv preprint arXiv:2111.09957 ( 2021 ). Roland Gao. 2021. Rethink Dilated Convolution for Real-time Semantic Segmentation. arXiv preprint arXiv:2111.09957 (2021)."},{"key":"e_1_3_2_2_12_1","volume-title":"Dynamic Channel Pruning: Feature Boosting and Suppression. In International Conference on Learning Representations.","author":"Gao Xitong","year":"2018","unstructured":"Xitong Gao , Yiren Zhao , \u0141ukasz Dudziak , Robert Mullins , and Cheng-zhong Xu. 2018 . Dynamic Channel Pruning: Feature Boosting and Suppression. In International Conference on Learning Representations. Xitong Gao, Yiren Zhao, \u0141ukasz Dudziak, Robert Mullins, and Cheng-zhong Xu. 2018. Dynamic Channel Pruning: Feature Boosting and Suppression. In International Conference on Learning Representations."},{"key":"e_1_3_2_2_13_1","volume-title":"31st British Machine Vision Conference 2020, BMVC 2020","author":"Haiyang Si Feng Lu","year":"2020","unstructured":"Feng Lu Haiyang Si , Zhiqiang Zhang . 2020 . Real-Time Semantic Segmentation via Multiply Spatial Fusion Network . In 31st British Machine Vision Conference 2020, BMVC 2020 , Virtual Event, UK, September 7--10 , 2020. BMVA Press. Feng Lu Haiyang Si, Zhiqiang Zhang. 2020. Real-Time Semantic Segmentation via Multiply Spatial Fusion Network. In 31st British Machine Vision Conference 2020, BMVC 2020, Virtual Event, UK, September 7--10, 2020. BMVA Press."},{"key":"e_1_3_2_2_14_1","volume-title":"Dynamic neural networks: A survey","author":"Han Yizeng","year":"2021","unstructured":"Yizeng Han , Gao Huang , Shiji Song , Le Yang , Honghui Wang , and Yulin Wang . 2021. Dynamic neural networks: A survey . IEEE Transactions on Pattern Analysis and Machine Intelligence ( 2021 ). Yizeng Han, Gao Huang, Shiji Song, Le Yang, Honghui Wang, and Yulin Wang. 2021. Dynamic neural networks: A survey. IEEE Transactions on Pattern Analysis and Machine Intelligence (2021)."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_15_1","DOI":"10.1109\/CVPR.2016.90"},{"unstructured":"Geoffrey Hinton Oriol Vinyals Jeff Dean etal 2015. Distilling the knowledge in a neural network. arXiv preprint arXiv:1503.02531 Vol. 2 7 (2015).  Geoffrey Hinton Oriol Vinyals Jeff Dean et al. 2015. Distilling the knowledge in a neural network. arXiv preprint arXiv:1503.02531 Vol. 2 7 (2015).","key":"e_1_3_2_2_16_1"},{"key":"e_1_3_2_2_17_1","volume-title":"Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes. arXiv preprint arXiv:2101.06085","author":"Hong Yuanduo","year":"2021","unstructured":"Yuanduo Hong , Huihui Pan , Weichao Sun , and Yisong Jia . 2021. Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes. arXiv preprint arXiv:2101.06085 ( 2021 ). Yuanduo Hong, Huihui Pan, Weichao Sun, and Yisong Jia. 2021. Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes. arXiv preprint arXiv:2101.06085 (2021)."},{"key":"e_1_3_2_2_18_1","volume-title":"Slimmable generative adversarial networks. arXiv preprint arXiv:2012.05660","author":"Hou Liang","year":"2020","unstructured":"Liang Hou , Zehuan Yuan , Lei Huang , Huawei Shen , Xueqi Cheng , and Changhu Wang . 2020. Slimmable generative adversarial networks. arXiv preprint arXiv:2012.05660 ( 2020 ). Liang Hou, Zehuan Yuan, Lei Huang, Huawei Shen, Xueqi Cheng, and Changhu Wang. 2020. Slimmable generative adversarial networks. arXiv preprint arXiv:2012.05660 (2020)."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_19_1","DOI":"10.1109\/ICCV.2019.00140"},{"key":"e_1_3_2_2_20_1","volume-title":"Zhiru Zhang, and G Edward Suh.","author":"Hua Weizhe","year":"2019","unstructured":"Weizhe Hua , Yuan Zhou , Christopher M De Sa , Zhiru Zhang, and G Edward Suh. 2019 . Channel gating neural networks. Advances in Neural Information Processing Systems , Vol. 32 (2019). Weizhe Hua, Yuan Zhou, Christopher M De Sa, Zhiru Zhang, and G Edward Suh. 2019. Channel gating neural networks. Advances in Neural Information Processing Systems, Vol. 32 (2019)."},{"volume-title":"Multi-Scale Dense Networks for Resource Efficient Image Classification. In International Conference on Learning Representations.","author":"Huang Gao","unstructured":"Gao Huang , Danlu Chen , Tianhong Li , Felix Wu , Laurens van der Maaten, and Kilian Q. Weinberger. 2018 . Multi-Scale Dense Networks for Resource Efficient Image Classification. In International Conference on Learning Representations. Gao Huang, Danlu Chen, Tianhong Li, Felix Wu, Laurens van der Maaten, and Kilian Q. Weinberger. 2018. Multi-Scale Dense Networks for Resource Efficient Image Classification. In International Conference on Learning Representations.","key":"e_1_3_2_2_21_1"},{"key":"e_1_3_2_2_22_1","volume-title":"Dynamic Slimmable Denoising Network. arXiv preprint arXiv:2110.08940","author":"Jiang Zutao","year":"2021","unstructured":"Zutao Jiang , Changlin Li , Xiaojun Chang , Jihua Zhu , and Yi Yang . 2021. Dynamic Slimmable Denoising Network. arXiv preprint arXiv:2110.08940 ( 2021 ). Zutao Jiang, Changlin Li, Xiaojun Chang, Jihua Zhu, and Yi Yang. 2021. Dynamic Slimmable Denoising Network. arXiv preprint arXiv:2110.08940 (2021)."},{"key":"e_1_3_2_2_23_1","volume-title":"Multi-Exit Semantic Segmentation Networks. arXiv preprint arXiv:2106.03527","author":"Kouris Alexandros","year":"2021","unstructured":"Alexandros Kouris , Stylianos I Venieris , Stefanos Laskaridis , and Nicholas D Lane . 2021. Multi-Exit Semantic Segmentation Networks. arXiv preprint arXiv:2106.03527 ( 2021 ). Alexandros Kouris, Stylianos I Venieris, Stefanos Laskaridis, and Nicholas D Lane. 2021. Multi-Exit Semantic Segmentation Networks. arXiv preprint arXiv:2106.03527 (2021)."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_24_1","DOI":"10.1109\/CVPR46437.2021.00850"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_25_1","DOI":"10.1109\/CVPR46437.2021.00820"},{"key":"e_1_3_2_2_26_1","volume-title":"30th British Machine Vision Conference 2019, BMVC 2019. BMVA Press.","author":"Li G","year":"2020","unstructured":"G Li and J Kim . 2020 . DABNet: Depth-wise asymmetric bottleneck for real-time semantic segmentation . In 30th British Machine Vision Conference 2019, BMVC 2019. BMVA Press. G Li and J Kim. 2020. DABNet: Depth-wise asymmetric bottleneck for real-time semantic segmentation. In 30th British Machine Vision Conference 2019, BMVC 2019. BMVA Press."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_27_1","DOI":"10.1109\/CVPR.2019.00975"},{"key":"e_1_3_2_2_28_1","volume-title":"When Humans Meet Machines: Towards Efficient Segmentation Networks.. In BMVC.","author":"Li Peike","year":"2020","unstructured":"Peike Li , Xuanyi Dong , Xin Yu , and Yi Yang . 2020 a. When Humans Meet Machines: Towards Efficient Segmentation Networks.. In BMVC. Peike Li, Xuanyi Dong, Xin Yu, and Yi Yang. 2020a. When Humans Meet Machines: Towards Efficient Segmentation Networks.. In BMVC."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_29_1","DOI":"10.1007\/978-3-030-58452-8_45"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_30_1","DOI":"10.1109\/CVPR.2019.00936"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_31_1","DOI":"10.1109\/CVPR42600.2020.00858"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_32_1","DOI":"10.1109\/CVPR42600.2020.00426"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_33_1","DOI":"10.1109\/CVPR.2017.106"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_34_1","DOI":"10.1109\/TPAMI.2020.3001940"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_35_1","DOI":"10.1109\/CVPR.2015.7298965"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_36_1","DOI":"10.1609\/aaai.v34i04.5963"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_37_1","DOI":"10.1145\/3306305.3332370"},{"key":"e_1_3_2_2_38_1","volume-title":"Enet: A deep neural network architecture for real-time semantic segmentation. arXiv preprint arXiv:1606.02147","author":"Paszke Adam","year":"2016","unstructured":"Adam Paszke , Abhishek Chaurasia , Sangpil Kim , and Eugenio Culurciello . 2016 . Enet: A deep neural network architecture for real-time semantic segmentation. arXiv preprint arXiv:1606.02147 (2016). Adam Paszke, Abhishek Chaurasia, Sangpil Kim, and Eugenio Culurciello. 2016. Enet: A deep neural network architecture for real-time semantic segmentation. arXiv preprint arXiv:1606.02147 (2016)."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_39_1","DOI":"10.1109\/TMI.2021.3098703"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_40_1","DOI":"10.1109\/TITS.2017.2750080"},{"unstructured":"Changyong Shu Yifan Liu Jianfei Gao Yan Zheng and Chunhua Shen. 2021. Channel-wise Knowledge Distillation for Dense Prediction. In ICCV.  Changyong Shu Yifan Liu Jianfei Gao Yan Zheng and Chunhua Shen. 2021. Channel-wise Knowledge Distillation for Dense Prediction. In ICCV.","key":"e_1_3_2_2_41_1"},{"key":"e_1_3_2_2_42_1","volume-title":"Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556","author":"Simonyan Karen","year":"2014","unstructured":"Karen Simonyan and Andrew Zisserman . 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 ( 2014 ). Karen Simonyan and Andrew Zisserman. 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)."},{"key":"e_1_3_2_2_43_1","volume-title":"High-resolution representations for labeling pixels and regions. arXiv preprint arXiv:1904.04514","author":"Sun Ke","year":"2019","unstructured":"Ke Sun , Yang Zhao , Borui Jiang , Tianheng Cheng , Bin Xiao , Dong Liu , Yadong Mu , Xinggang Wang , Wenyu Liu , and Jingdong Wang . 2019. High-resolution representations for labeling pixels and regions. arXiv preprint arXiv:1904.04514 ( 2019 ). Ke Sun, Yang Zhao, Borui Jiang, Tianheng Cheng, Bin Xiao, Dong Liu, Yadong Mu, Xinggang Wang, Wenyu Liu, and Jingdong Wang. 2019. High-resolution representations for labeling pixels and regions. arXiv preprint arXiv:1904.04514 (2019)."},{"unstructured":"Michael Treml Jos\u00e9 Arjona-Medina Thomas Unterthiner Rupesh Durgesh Felix Friedmann Peter Schuberth Andreas Mayr Martin Heusel Markus Hofmarcher Michael Widrich etal 2016. Speeding up semantic segmentation for autonomous driving. (2016).  Michael Treml Jos\u00e9 Arjona-Medina Thomas Unterthiner Rupesh Durgesh Felix Friedmann Peter Schuberth Andreas Mayr Martin Heusel Markus Hofmarcher Michael Widrich et al. 2016. Speeding up semantic segmentation for autonomous driving. (2016).","key":"e_1_3_2_2_44_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_45_1","DOI":"10.1007\/978-3-030-01246-5_1"},{"doi-asserted-by":"crossref","unstructured":"Jingdong Wang Ke Sun Tianheng Cheng Borui Jiang Chaorui Deng Yang Zhao Dong Liu Yadong Mu Mingkui Tan Xinggang Wang etal 2020a. Deep high-resolution representation learning for visual recognition. IEEE transactions on pattern analysis and machine intelligence Vol. 43 10 (2020) 3349--3364.  Jingdong Wang Ke Sun Tianheng Cheng Borui Jiang Chaorui Deng Yang Zhao Dong Liu Yadong Mu Mingkui Tan Xinggang Wang et al. 2020a. Deep high-resolution representation learning for visual recognition. IEEE transactions on pattern analysis and machine intelligence Vol. 43 10 (2020) 3349--3364.","key":"e_1_3_2_2_46_1","DOI":"10.1109\/TPAMI.2020.2983686"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_47_1","DOI":"10.1109\/CVPR.2018.00917"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_48_1","DOI":"10.1007\/978-3-030-01261-8_25"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_49_1","DOI":"10.1007\/978-3-030-58555-6_32"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_50_1","DOI":"10.1109\/CVPR46437.2021.00496"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_51_1","DOI":"10.1109\/CVPR42600.2020.00244"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_52_1","DOI":"10.1016\/j.isprsjprs.2021.06.006"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_53_1","DOI":"10.1007\/s11263-021-01515-2"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_54_1","DOI":"10.1007\/978-3-030-01261-8_20"},{"key":"e_1_3_2_2_55_1","volume-title":"Autoslim: Towards one-shot architecture search for channel numbers. arXiv preprint arXiv:1903.11728","author":"Yu Jiahui","year":"2019","unstructured":"Jiahui Yu and Thomas Huang . 2019 a. Autoslim: Towards one-shot architecture search for channel numbers. arXiv preprint arXiv:1903.11728 (2019). Jiahui Yu and Thomas Huang. 2019a. Autoslim: Towards one-shot architecture search for channel numbers. arXiv preprint arXiv:1903.11728 (2019)."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_56_1","DOI":"10.1109\/ICCV.2019.00189"},{"key":"e_1_3_2_2_57_1","volume-title":"Slimmable neural networks. arXiv preprint arXiv:1812.08928","author":"Yu Jiahui","year":"2018","unstructured":"Jiahui Yu , Linjie Yang , Ning Xu , Jianchao Yang , and Thomas Huang . 2018b. Slimmable neural networks. arXiv preprint arXiv:1812.08928 ( 2018 ). Jiahui Yu, Linjie Yang, Ning Xu, Jianchao Yang, and Thomas Huang. 2018b. Slimmable neural networks. arXiv preprint arXiv:1812.08928 (2018)."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_58_1","DOI":"10.1007\/978-3-030-58610-2_29"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_59_1","DOI":"10.1109\/CVPR46437.2021.01374"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_60_1","DOI":"10.1109\/CVPR.2019.01191"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_61_1","DOI":"10.1007\/978-3-030-01219-9_25"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_62_1","DOI":"10.1109\/CVPR.2017.660"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_63_1","DOI":"10.1109\/CVPR46437.2021.00681"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_64_1","DOI":"10.1109\/CVPR.2017.544"},{"key":"e_1_3_2_2_65_1","volume-title":"Advances in Neural Information Processing Systems","volume":"34","author":"Zhu Mingjian","year":"2021","unstructured":"Mingjian Zhu , Kai Han , Enhua Wu , Qiulin Zhang , Ying Nie , Zhenzhong Lan , and Yunhe Wang . 2021 . Dynamic Resolution Network . Advances in Neural Information Processing Systems , Vol. 34 (2021). Mingjian Zhu, Kai Han, Enhua Wu, Qiulin Zhang, Ying Nie, Zhenzhong Lan, and Yunhe Wang. 2021. Dynamic Resolution Network. Advances in Neural Information Processing Systems, Vol. 34 (2021)."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_66_1","DOI":"10.1109\/CVPR.2019.00906"},{"key":"e_1_3_2_2_67_1","volume-title":"Neural architecture search with reinforcement learning. arXiv preprint arXiv:1611.01578","author":"Zoph Barret","year":"2016","unstructured":"Barret Zoph and Quoc V Le. 2016. Neural architecture search with reinforcement learning. arXiv preprint arXiv:1611.01578 ( 2016 ). Barret Zoph and Quoc V Le. 2016. Neural architecture search with reinforcement learning. arXiv preprint arXiv:1611.01578 (2016)."}],"event":{"sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"acronym":"MM '22","name":"MM '22: The 30th ACM International Conference on Multimedia","location":"Lisboa Portugal"},"container-title":["Proceedings of the 30th ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503161.3548191","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3503161.3548191","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:00:20Z","timestamp":1750186820000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503161.3548191"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,10]]},"references-count":67,"alternative-id":["10.1145\/3503161.3548191","10.1145\/3503161"],"URL":"https:\/\/doi.org\/10.1145\/3503161.3548191","relation":{},"subject":[],"published":{"date-parts":[[2022,10,10]]},"assertion":[{"value":"2022-10-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}