{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,18]],"date-time":"2026-02-18T23:47:32Z","timestamp":1771458452399,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":39,"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 Hong Kong Research Grants Council (RGC) Research Impact Fund (RIF)","award":["Grant R5001-18"],"award-info":[{"award-number":["Grant R5001-18"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,10,17]]},"DOI":"10.1145\/3474085.3475588","type":"proceedings-article","created":{"date-parts":[[2021,10,18]],"date-time":"2021-10-18T20:56:12Z","timestamp":1634590572000},"page":"4408-4416","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":17,"title":["Self-feature Learning"],"prefix":"10.1145","author":[{"given":"Jun","family":"Xiao","sequence":"first","affiliation":[{"name":"The Hong Kong Polytechnic University, Hong Kong, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qian","family":"Ye","sequence":"additional","affiliation":[{"name":"Tohoku University, Sendai, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rui","family":"Zhao","sequence":"additional","affiliation":[{"name":"The Hong Kong Polytechnic University, Hong Kong, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kin-Man","family":"Lam","sequence":"additional","affiliation":[{"name":"The Hong Kong Polytechnic University, Hong Kong, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kao","family":"Wan","sequence":"additional","affiliation":[{"name":"Peng Cheng Laboratory, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,10,17]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.150"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01249-6_16"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00928-1_11"},{"key":"e_1_3_2_2_4_1","volume-title":"accurate and lightweight super-resolution with neural architecture search. arXiv preprint arXiv:1901.07261","author":"Chu Xiangxiang","year":"2019","unstructured":"Xiangxiang Chu , Bo Zhang , Hailong Ma , Ruijun Xu , Jixiang Li , and Qingyuan Li. 2019. Fast , accurate and lightweight super-resolution with neural architecture search. arXiv preprint arXiv:1901.07261 ( 2019 ). Xiangxiang Chu, Bo Zhang, Hailong Ma, Ruijun Xu, Jixiang Li, and Qingyuan Li. 2019. Fast, accurate and lightweight super-resolution with neural architecture search. arXiv preprint arXiv:1901.07261 (2019)."},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-66823-5_6"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01132"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2439281"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_25"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.5220\/0005559800920097"},{"key":"e_1_3_2_2_10_1","volume-title":"Hypernetworks. Proceedings of International Conference on Learning Representations (ICLR)","author":"Ha David","year":"2017","unstructured":"David Ha , Andrew Dai , and Quoc V Le . 2017 . Hypernetworks. Proceedings of International Conference on Learning Representations (ICLR) (2017). David Ha, Andrew Dai, and Quoc V Le. 2017. Hypernetworks. Proceedings of International Conference on Learning Representations (ICLR) (2017)."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00165"},{"key":"e_1_3_2_2_12_1","volume-title":"Proceedings of International Conference on Learning Representations (ICLR)","author":"Han Song","year":"2016","unstructured":"Song Han , Huizi Mao , and William J Dally . 2016 . Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding . Proceedings of International Conference on Learning Representations (ICLR) (2016). Song Han, Huizi Mao, and William J Dally. 2016. Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding. Proceedings of International Conference on Learning Representations (ICLR) (2016)."},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3351084"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00082"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.5555\/2969442.2969465"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.5555\/3157096.3157171"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.107162"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/VCIP49819.2020.9301860"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"crossref","unstructured":"Yakun Ju Kin-Man Lam Yang Chen Lin Qi and Junyu Dong. 2020 c. Pay Attention to Devils: A Photometric Stereo Network for Better Details.. In IJCAI. 694--700. Yakun Ju Kin-Man Lam Yang Chen Lin Qi and Junyu Dong. 2020 c. Pay Attention to Devils: A Photometric Stereo Network for Better Details.. In IJCAI. 694--700.","DOI":"10.24963\/ijcai.2020\/97"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.09.084"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.182"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.181"},{"key":"e_1_3_2_2_23_1","volume-title":"Involution: Inverting the Inherence of Convolution for Visual Recognition. arXiv preprint arXiv:2103.06255","author":"Li Duo","year":"2021","unstructured":"Duo Li , Jie Hu , Changhu Wang , Xiangtai Li , Qi She , Lei Zhu , Tong Zhang , and Qifeng Chen . 2021 . Involution: Inverting the Inherence of Convolution for Visual Recognition. arXiv preprint arXiv:2103.06255 (2021). Duo Li, Jie Hu, Changhu Wang, Xiangtai Li, Qi She, Lei Zhu, Tong Zhang, and Qifeng Chen. 2021. Involution: Inverting the Inherence of Convolution for Visual Recognition. arXiv preprint arXiv:2103.06255 (2021)."},{"key":"e_1_3_2_2_24_1","volume-title":"Proceedings of International Conference on Learning Representations (ICLR)","author":"Li Hao","year":"2017","unstructured":"Hao Li , Asim Kadav , Igor Durdanovic , Hanan Samet , and Hans Peter Graf . 2017 . Pruning filters for efficient convnets . Proceedings of International Conference on Learning Representations (ICLR) (2017). Hao Li, Asim Kadav, Igor Durdanovic, Hanan Samet, and Hans Peter Graf. 2017. Pruning filters for efficient convnets. Proceedings of International Conference on Learning Representations (ICLR) (2017)."},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00399"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.151"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2469282"},{"key":"e_1_3_2_2_28_1","volume-title":"GhostSR: Learning Ghost Features for Efficient Image Super-Resolution. arXiv preprint arXiv:2101.08525","author":"Nie Ying","year":"2021","unstructured":"Ying Nie , Kai Han , Zhenhua Liu , An Xiao , Yiping Deng , Chunjing Xu , and Yunhe Wang . 2021. GhostSR: Learning Ghost Features for Efficient Image Super-Resolution. arXiv preprint arXiv:2101.08525 ( 2021 ). Ying Nie, Kai Han, Zhenhua Liu, An Xiao, Yiping Deng, Chunjing Xu, and Yunhe Wang. 2021. GhostSR: Learning Ghost Features for Efficient Image Super-Resolution. arXiv preprint arXiv:2101.08525 (2021)."},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6877"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.298"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.486"},{"key":"e_1_3_2_2_32_1","volume-title":"Lightweight image super-resolution with adaptive weighted learning network. arXiv preprint arXiv:1904.02358","author":"Wang Chaofeng","year":"2019","unstructured":"Chaofeng Wang , Zheng Li , and Jun Shi . 2019. Lightweight image super-resolution with adaptive weighted learning network. arXiv preprint arXiv:1904.02358 ( 2019 ). Chaofeng Wang, Zheng Li, and Jun Shi. 2019. Lightweight image super-resolution with adaptive weighted learning network. arXiv preprint arXiv:1904.02358 (2019)."},{"key":"e_1_3_2_2_33_1","volume-title":"Proceedings of the Asian Conference on Computer Vision (ACCV).","author":"Wang Xuehui","year":"2020","unstructured":"Xuehui Wang , Qing Wang , Yuzhi Zhao , Junchi Yan , Lei Fan , and Long Chen . 2020 . Lightweight single-image super-resolution network with attentive auxiliary feature learning . In Proceedings of the Asian Conference on Computer Vision (ACCV). Xuehui Wang, Qing Wang, Yuzhi Zhao, Junchi Yan, Lei Fan, and Long Chen. 2020. Lightweight single-image super-resolution network with attentive auxiliary feature learning. In Proceedings of the Asian Conference on Computer Vision (ACCV)."},{"key":"e_1_3_2_2_34_1","volume-title":"Feature Redundancy Mining: Deep Light-Weight Image Super-Resolution Model. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 1620--1624","author":"Xiao Jun","year":"2021","unstructured":"Jun Xiao , Wenqi Jia , and Kin-Man Lam . 2021 . Feature Redundancy Mining: Deep Light-Weight Image Super-Resolution Model. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 1620--1624 . Jun Xiao, Wenqi Jia, and Kin-Man Lam. 2021. Feature Redundancy Mining: Deep Light-Weight Image Super-Resolution Model. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 1620--1624."},{"key":"e_1_3_2_2_35_1","volume-title":"Deep Progressive Convolutional Neural Network for Blind Super-Resolution With Multiple Degradations. In 2019 IEEE International Conference on Image Processing (ICIP). 2856--2860","author":"Xiao Jun","year":"2019","unstructured":"Jun Xiao , Rui Zhao , Shun-Cheung Lai , Wenqi Jia , and Kin-Man Lam . 2019 . Deep Progressive Convolutional Neural Network for Blind Super-Resolution With Multiple Degradations. In 2019 IEEE International Conference on Image Processing (ICIP). 2856--2860 . Jun Xiao, Rui Zhao, Shun-Cheung Lai, Wenqi Jia, and Kin-Man Lam. 2019. Deep Progressive Convolutional Neural Network for Blind Super-Resolution With Multiple Degradations. In 2019 IEEE International Conference on Image Processing (ICIP). 2856--2860."},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.5555\/3454287.3454404"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_18"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00262"},{"key":"e_1_3_2_2_39_1","volume-title":"Daniel PK Lun, and Kin-Man Lam","author":"Zhao Rui","year":"2021","unstructured":"Rui Zhao , Tianshan Liu , Jun Xiao , Daniel PK Lun, and Kin-Man Lam . 2021 . Invertible Image Decolorization. IEEE Transactions on Image Processing ( 2021). Rui Zhao, Tianshan Liu, Jun Xiao, Daniel PK Lun, and Kin-Man Lam. 2021. Invertible Image Decolorization. IEEE Transactions on Image Processing (2021)."}],"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\/3474085.3475588","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3474085.3475588","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:49:11Z","timestamp":1750193351000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3474085.3475588"}},"subtitle":["An Efficient Deep Lightweight Network for Image Super-resolution"],"short-title":[],"issued":{"date-parts":[[2021,10,17]]},"references-count":39,"alternative-id":["10.1145\/3474085.3475588","10.1145\/3474085"],"URL":"https:\/\/doi.org\/10.1145\/3474085.3475588","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"}}]}}