{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,18]],"date-time":"2026-01-18T21:26:57Z","timestamp":1768771617358,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":40,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,10,17]],"date-time":"2021-10-17T00:00:00Z","timestamp":1634428800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"the National Natural Science Foundation of China","award":["61876161"],"award-info":[{"award-number":["61876161"]}]},{"name":"the National Key Research and Development Program of China","award":["2020AAA0108301"],"award-info":[{"award-number":["2020AAA0108301"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,10,17]]},"DOI":"10.1145\/3474085.3475288","type":"proceedings-article","created":{"date-parts":[[2021,10,18]],"date-time":"2021-10-18T17:45:27Z","timestamp":1634579127000},"page":"1535-1543","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["Boosting Lightweight Single Image Super-resolution via Joint-distillation"],"prefix":"10.1145","author":[{"given":"Xiaotong","family":"Luo","sequence":"first","affiliation":[{"name":"Xiamen University, Xiamen, China"}]},{"given":"Qiuyuan","family":"Liang","sequence":"additional","affiliation":[{"name":"Xiamen University, Xiamen, China"}]},{"given":"Ding","family":"Liu","sequence":"additional","affiliation":[{"name":"Bytedance Inc., Mountain View, CA, USA"}]},{"given":"Yanyun","family":"Qu","sequence":"additional","affiliation":[{"name":"Xiamen University, Xiamen, China"}]}],"member":"320","published-online":{"date-parts":[[2021,10,17]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study. In CVPRW.","author":"Agustsson Eirikur","year":"2017"},{"key":"e_1_3_2_1_2_1","unstructured":"Namhyuk Ahn Byungkon Kang and Kyung-Ah Sohn. 2018. Fast Accurate and Lightweight Super-Resolution with Cascading Residual Network. In ECCV.  Namhyuk Ahn Byungkon Kang and Kyung-Ah Sohn. 2018. Fast Accurate and Lightweight Super-Resolution with Cascading Residual Network. In ECCV."},{"key":"e_1_3_2_1_3_1","volume-title":"Andreas C. Damianou, Neil D.","author":"Ahn Sungsoo","year":"2019"},{"key":"e_1_3_2_1_4_1","volume-title":"Andreas C. Damianou, Neil D.","author":"Ahn Sungsoo","year":"2019"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.161"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Marco Bevilacqua Aline Roumy Christine Guillemot and Marie-Line Alberi-Morel. 2012. Low-Complexity Single-Image Super-Resolution based on Nonnegative Neighbor Embedding. In BMVC.  Marco Bevilacqua Aline Roumy Christine Guillemot and Marie-Line Alberi-Morel. 2012. Low-Complexity Single-Image Super-Resolution based on Nonnegative Neighbor Embedding. In BMVC.","DOI":"10.5244\/C.26.135"},{"key":"e_1_3_2_1_7_1","volume-title":"Accurate and Lightweight Super-Resolution with Neural Architecture Search. arXiv:1901.07261","author":"Chu Xiangxiang","year":"2019"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2439281"},{"key":"e_1_3_2_1_9_1","volume-title":"Chen Change Loy, and Xiaoou Tang","author":"Dong Chao","year":"2016"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.5555\/3305381.3305498"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.5555\/3305381.3305498"},{"key":"e_1_3_2_1_12_1","unstructured":"Qinquan Gao Yan Zhao Gen Li and Tong Tong. 2018. Image Super-Resolution Using Knowledge Distillation. In ACCV.  Qinquan Gao Yan Zhao Gen Li and Tong Tong. 2018. Image Super-Resolution Using Knowledge Distillation. In ACCV."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.5555\/3327345.3327436"},{"key":"e_1_3_2_1_14_1","volume-title":"Fakd: Feature-Affinity Based Knowledge Distillation for Efficient Image Super-Resolution. In ICIP.","author":"He Zibin","year":"2020"},{"key":"e_1_3_2_1_15_1","volume-title":"Distilling the Knowledge in a Neural Network. arXiv:1503.02531","author":"Hinton Geoffrey E.","year":"2015"},{"key":"e_1_3_2_1_16_1","unstructured":"Xuecai Hu Haoyuan Mu Xiangyu Zhang Zilei Wang Tieniu Tan and Jian Sun. 2019. Meta-SR: A Magnification-Arbitrary Network for Super-Resolution. In CVPR.  Xuecai Hu Haoyuan Mu Xiangyu Zhang Zilei Wang Tieniu Tan and Jian Sun. 2019. Meta-SR: A Magnification-Arbitrary Network for Super-Resolution. In CVPR."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"crossref","unstructured":"Jia-Bin Huang Abhishek Singh and Narendra Ahuja. 2015. Single Image Super-Resolution from Transformed Self-Exemplars. In CVPR.  Jia-Bin Huang Abhishek Singh and Narendra Ahuja. 2015. Single Image Super-Resolution from Transformed Self-Exemplars. In CVPR.","DOI":"10.1109\/CVPR.2015.7299156"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3351084"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"crossref","unstructured":"Zheng Hui Xiumei Wang and Xinbo Gao. 2018. Fast and Accurate Single Image Super-Resolution via Information Distillation Network. In CVPR.  Zheng Hui Xiumei Wang and Xinbo Gao. 2018. Fast and Accurate Single Image Super-Resolution via Information Distillation Network. In CVPR.","DOI":"10.1109\/CVPR.2018.00082"},{"key":"e_1_3_2_1_20_1","unstructured":"Muhammad Abdullah Jamal and Guo-Jun Qi. 2019. Task Agnostic Meta-Learning for Few-Shot Learning. In CVPR.  Muhammad Abdullah Jamal and Guo-Jun Qi. 2019. Task Agnostic Meta-Learning for Few-Shot Learning. In CVPR."},{"key":"e_1_3_2_1_21_1","volume-title":"Jung Kwon Lee, and Kyoung Mu Lee","author":"Kim Jiwon","year":"2016"},{"key":"e_1_3_2_1_22_1","unstructured":"Wei-Sheng Lai Jia-Bin Huang Narendra Ahuja and Ming-Hsuan Yang. 2017. Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution. In CVPR.  Wei-Sheng Lai Jia-Bin Huang Narendra Ahuja and Ming-Hsuan Yang. 2017. Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution. In CVPR."},{"key":"e_1_3_2_1_23_1","unstructured":"Wonkyung Lee Junghyup Lee Dohyung Kim and Bumsub Ham. 2020. Learning with Privileged Information for Efficient Image Super-Resolution. In ECCV.  Wonkyung Lee Junghyup Lee Dohyung Kim and Bumsub Ham. 2020. Learning with Privileged Information for Efficient Image Super-Resolution. In ECCV."},{"key":"e_1_3_2_1_24_1","volume-title":"PAMS: Quantized Super-Resolution via Parameterized Max Scale. In ECCV.","author":"Li Huixia","year":"2020"},{"key":"e_1_3_2_1_25_1","unstructured":"Tsung-Yi Lin Piotr Doll\u00e1 r Ross B. Girshick Kaiming He Bharath Hariharan and Serge J. Belongie. [n.d.]. Feature Pyramid Networks for Object Detection. In CVPR.  Tsung-Yi Lin Piotr Doll\u00e1 r Ross B. Girshick Kaiming He Bharath Hariharan and Serge J. Belongie. [n.d.]. Feature Pyramid Networks for Object Detection. In CVPR."},{"key":"e_1_3_2_1_26_1","unstructured":"Benlin Liu Yongming Rao Jiwen Lu Jie Zhou and Cho-Jui Hsieh. 2020. MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation. In ECCV.  Benlin Liu Yongming Rao Jiwen Lu Jie Zhou and Cho-Jui Hsieh. 2020. MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation. In ECCV."},{"key":"e_1_3_2_1_27_1","unstructured":"Xiaotong Luo Yuan Xie Yulun Zhang Yanyun Qu Cuihua Li and Yun Fu. 2020. LatticeNet: Towards Lightweight Image Super-Resolution with Lattice Block. In ECCV.  Xiaotong Luo Yuan Xie Yulun Zhang Yanyun Qu Cuihua Li and Yun Fu. 2020. LatticeNet: Towards Lightweight Image Super-Resolution with Lattice Block. In ECCV."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"crossref","unstructured":"Seobin Park Jinsu Yoo Donghyeon Cho Jiwon Kim and Tae Hyun Kim. 2020. Fast Adaptation to Super-Resolution Networks via Meta-learning. In ECCV.  Seobin Park Jinsu Yoo Donghyeon Cho Jiwon Kim and Tae Hyun Kim. 2020. Fast Adaptation to Super-Resolution Networks via Meta-learning. In ECCV.","DOI":"10.1007\/978-3-030-58583-9_45"},{"key":"e_1_3_2_1_29_1","unstructured":"Wenzhe Shi Jose Caballero Ferenc Huszar Johannes Totz Andrew P. Aitken Rob Bishop Daniel Rueckert and Zehan Wang. 2016. Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network. In CVPR.  Wenzhe Shi Jose Caballero Ferenc Huszar Johannes Totz Andrew P. Aitken Rob Bishop Daniel Rueckert and Zehan Wang. 2016. Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network. In CVPR."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"crossref","unstructured":"Assaf Shocher Nadav Cohen and Michal Irani. 2018. \"Zero-Shot\" Super-Resolution Using Deep Internal Learning. In CVPR.  Assaf Shocher Nadav Cohen and Michal Irani. 2018. \"Zero-Shot\" Super-Resolution Using Deep Internal Learning. In CVPR.","DOI":"10.1109\/CVPR.2018.00329"},{"key":"e_1_3_2_1_31_1","unstructured":"Jae Woong Soh Sunwoo Cho and Nam Ik Cho. 2020. Meta-Transfer Learning for Zero-Shot Super-Resolution. In CVPR.  Jae Woong Soh Sunwoo Cho and Nam Ik Cho. 2020. Meta-Transfer Learning for Zero-Shot Super-Resolution. In CVPR."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"crossref","unstructured":"Ying Tai Jian Yang and Xiaoming Liu. 2017. Image Super-Resolution via Deep Recursive Residual Network. In CVPR.  Ying Tai Jian Yang and Xiaoming Liu. 2017. Image Super-Resolution via Deep Recursive Residual Network. In CVPR.","DOI":"10.1109\/CVPR.2017.298"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"crossref","unstructured":"Tao Wang Li Yuan Xiaopeng Zhang and Jiashi Feng. 2019. Distilling Object Detectors With Fine-Grained Feature Imitation. In CVPR.  Tao Wang Li Yuan Xiaopeng Zhang and Jiashi Feng. 2019. Distilling Object Detectors With Fine-Grained Feature Imitation. In CVPR.","DOI":"10.1109\/CVPR.2019.00507"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"crossref","unstructured":"Junho Yim Donggyu Joo Ji-Hoon Bae and Junmo Kim. 2017. A Gift from Knowledge Distillation: Fast Optimization Network Minimization and Transfer Learning. In CVPR.  Junho Yim Donggyu Joo Ji-Hoon Bae and Junmo Kim. 2017. A Gift from Knowledge Distillation: Fast Optimization Network Minimization and Transfer Learning. In CVPR.","DOI":"10.1109\/CVPR.2017.754"},{"key":"e_1_3_2_1_35_1","unstructured":"Sergey Zagoruyko and Nikos Komodakis. 2017. Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer. In ICLR.  Sergey Zagoruyko and Nikos Komodakis. 2017. Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer. In ICLR."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-27413-8_47"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"crossref","unstructured":"Linfeng Zhang Jiebo Song Anni Gao Jingwei Chen Chenglong Bao and Kaisheng Ma. 2019. Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation. In ICCV.  Linfeng Zhang Jiebo Song Anni Gao Jingwei Chen Chenglong Bao and Kaisheng Ma. 2019. Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation. In ICCV.","DOI":"10.1109\/ICCV.2019.00381"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"crossref","unstructured":"Yulun Zhang Kunpeng Li Kai Li Lichen Wang Bineng Zhong and Yun Fu. 2018a. Image Super-Resolution Using Very Deep Residual Channel Attention Networks. In ECCV.  Yulun Zhang Kunpeng Li Kai Li Lichen Wang Bineng Zhong and Yun Fu. 2018a. Image Super-Resolution Using Very Deep Residual Channel Attention Networks. In ECCV.","DOI":"10.1007\/978-3-030-01234-2_18"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"crossref","unstructured":"Ying Zhang Tao Xiang Timothy M. Hospedales and Huchuan Lu. 2018b. Deep Mutual Learning. In CVPR.  Ying Zhang Tao Xiang Timothy M. Hospedales and Huchuan Lu. 2018b. Deep Mutual Learning. In CVPR.","DOI":"10.1109\/CVPR.2018.00454"},{"key":"e_1_3_2_1_40_1","unstructured":"Hengyuan Zhao Xiangtao Kong Jingwen He Yu Qiao and Chao Dong. [n.d.]. Efficient Image Super-Resolution Using Pixel Attention. In ECCVW.  Hengyuan Zhao Xiangtao Kong Jingwen He Yu Qiao and Chao Dong. [n.d.]. Efficient Image Super-Resolution Using Pixel Attention. In ECCVW."}],"event":{"name":"MM '21: ACM Multimedia Conference","location":"Virtual Event China","acronym":"MM '21","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 29th ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3474085.3475288","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3474085.3475288","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:48:17Z","timestamp":1750193297000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3474085.3475288"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,17]]},"references-count":40,"alternative-id":["10.1145\/3474085.3475288","10.1145\/3474085"],"URL":"https:\/\/doi.org\/10.1145\/3474085.3475288","relation":{},"subject":[],"published":{"date-parts":[[2021,10,17]]},"assertion":[{"value":"2021-10-17","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}