{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,3]],"date-time":"2026-10-03T17:13:39Z","timestamp":1791047619269,"version":"4.1.0"},"reference-count":68,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tpami.2021.3065339","type":"journal-article","created":{"date-parts":[[2021,3,11]],"date-time":"2021-03-11T16:19:30Z","timestamp":1615479570000},"page":"1-1","source":"Crossref","is-referenced-by-count":136,"title":["Learning End-to-End Lossy Image Compression: A Benchmark"],"prefix":"10.1109","author":[{"given":"Yueyu","family":"Hu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenhan","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhan","family":"Ma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiaying","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/DCC.2000.838192"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/s0923-5965(01)00024-8"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-3626-0"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/26.46532"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/214762.214771"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2003.815173"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2012.2221191"},{"key":"ref8","article-title":"Algorithm description for Versatile Video Coding and Test Model 8 (VTM 8)","author":"Chen"},{"key":"ref9","article-title":"BPG image format","author":"Bellard"},{"key":"ref10","article-title":"Variable rate image compression with recurrent neural networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Toderici"},{"key":"ref11","article-title":"Density modeling of images using a generalized normalization transformation","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Ball\u00e9"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6736"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ACSSC.2003.1292216"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_43"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/PCS.2016.7906310"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.577"},{"key":"ref18","first-page":"1141","article-title":"Soft-to-hard vector quantization for end-to-end learning compressible representations","volume-title":"Proc. 31st Int. Conf. Neural Inf. Process. Syst.","author":"Agustsson"},{"key":"ref19","article-title":"Lossy image compression with compressive autoencoders","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Theis"},{"key":"ref20","article-title":"End-to-end optimized image compression","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Ball\u00e9"},{"key":"ref21","article-title":"Learning to inpaint for image compression","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Baig"},{"key":"ref22","first-page":"2922","article-title":"Real-time adaptive image compression","volume-title":"Proc. 34th Int. Conf. Mach. Learn.","author":"Rippel"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2017.8296792"},{"key":"ref24","article-title":"Variational image compression with a scale hyperprior","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Ball\u00e9"},{"key":"ref25","first-page":"10794","article-title":"Joint autoregressive and hierarchical priors for learned image compression","volume-title":"Proc. 32nd Int. Conf. Neural Inf. Process. Syst.","author":"Minnen"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451502"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00462"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00461"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00339"},{"key":"ref30","first-page":"5933","article-title":"Deep generative models for distribution-preserving lossy compression","volume-title":"Proc. 32nd Int. Conf. Neural Inf. Process. Syst.","author":"Tschannen"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-20876-9_45"},{"key":"ref32","article-title":"Learning a code-space predictor by exploiting intra-image-dependencies","volume-title":"Proc. Brit. Mach. Vis. Conf.","author":"Klopp"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451411"},{"key":"ref34","article-title":"Context adaptive entropy model for end-to-end optimized image compression","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Lee"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01031"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00796"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3026003"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3058615"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8462263"},{"key":"ref40","article-title":"Auto-encoding variational bayes","author":"Kingma","year":"2013"},{"key":"ref41","first-page":"573","article-title":"Improving inference for neural image compression","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Yang"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3016485"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00031"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/PCS.2018.8456298"},{"key":"ref45","first-page":"11913","article-title":"High-fidelity generative image compression","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Mentzer"},{"key":"ref46","article-title":"Extended end-to-end optimized image compression method based on a context-adaptive entropy model","volume-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit. Workshops","author":"Lee"},{"key":"ref47","article-title":"Multi-scale and context-adaptive entropy model for image compression","volume-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit. Workshops","author":"Zhou"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.4324\/9781410605337-29"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1002\/0471200611"},{"key":"ref52","article-title":"Target-quality image compression with recurrent, convolutional neural networks","author":"Covell","year":"2017"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/PCS.2018.8456272"},{"key":"ref54","first-page":"4797","article-title":"Conditional image generation with pixelCNN decoders","volume-title":"Proc. 30th Int. Conf. Neural Inf. Process. Syst.","author":"Van den Oord"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.5772\/68"},{"key":"ref56","article-title":"Conditional generative adversarial nets","author":"Mirza","year":"2014"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.150"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref59","article-title":"Kodak lossless true color image suite (PhotoCD PCD0992)","author":"Kodak"},{"key":"ref60","first-page":"63","article-title":"TESTIMAGES: A large-scale archive for testing visual devices and basic image processing algorithms","volume-title":"Proc. Eur. Italian Chapter Conf.","author":"Asuni"},{"key":"ref61","article-title":"Calculation of average PSNR differences between RD-curves","author":"Bjontegarrd","year":"2001"},{"key":"ref62","article-title":"End-to-end optimized image compression with attention mechanism","volume-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit. Workshops","author":"Zhou"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1007\/s13398-014-0173-7.2"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3007828"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00068"},{"key":"ref66","article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Simonyan"},{"key":"ref67","article-title":"On the classification-distortion-perception tradeoff","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Liu"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00652"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/4359286\/09376651.pdf?arnumber=9376651","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T18:43:41Z","timestamp":1704825821000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9376651\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":68,"URL":"https:\/\/doi.org\/10.1109\/tpami.2021.3065339","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}