{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T11:10:55Z","timestamp":1770721855204,"version":"3.49.0"},"reference-count":76,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Early Career Scheme"},{"name":"Research Grants Council","award":["24206219"],"award-info":[{"award-number":["24206219"]}]},{"name":"Research Grants Council","award":["14204521"],"award-info":[{"award-number":["14204521"]}]},{"name":"CUHK FoE RSFS"},{"name":"Centre for Perceptual and Interactive Intelligence"},{"DOI":"10.13039\/501100010428","name":"Innovation and Technology Fund","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100010428","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2023,6,1]]},"DOI":"10.1109\/tpami.2022.3225788","type":"journal-article","created":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T20:49:53Z","timestamp":1669927793000},"page":"7395-7411","source":"Crossref","is-referenced-by-count":2,"title":["GH-Feat: Learning Versatile Generative Hierarchical Features From GANs"],"prefix":"10.1109","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2696-9664","authenticated-orcid":false,"given":"Yinghao","family":"Xu","sequence":"first","affiliation":[{"name":"Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3801-6705","authenticated-orcid":false,"given":"Yujun","family":"Shen","sequence":"additional","affiliation":[{"name":"Ant Research, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9198-0304","authenticated-orcid":false,"given":"Jiapeng","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1417-1938","authenticated-orcid":false,"given":"Ceyuan","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4030-0684","authenticated-orcid":false,"given":"Bolei","family":"Zhou","sequence":"additional","affiliation":[{"name":"Computer Science Department, University of California, Los Angeles, Los Angeles, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.50"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2723009"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2014.131"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.354"},{"key":"ref6","article-title":"Visualizing and understanding convolutional neural networks","volume-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit.","author":"Matthew"},{"key":"ref7","article-title":"Object detectors emerge in deep scene CNNs","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Zhou"},{"key":"ref8","first-page":"3320","article-title":"How transferable are features in deep neural networks?","volume-title":"Proc. Adv. Neural Informat. Process. Syst.","author":"Yosinski"},{"key":"ref9","article-title":"What makes instance discrimination good for transfer learning?","author":"Zhao","year":"2020"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.5555\/2969033.2969125"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00453"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00813"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3034267"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-020-01429-5"},{"key":"ref15","article-title":"Adversarial feature learning","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Donahue"},{"key":"ref16","article-title":"Adversarially learned inference","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Dumoulin"},{"key":"ref17","article-title":"Large scale adversarial representation learning","volume-title":"Proc. Adv. Neural Informat. Process. Syst.","author":"Donahue"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00441"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1023\/b:visi.0000029664.99615.94"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/11744023_32"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"ref22","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","volume-title":"Proc. Adv. Neural Informat. Process. Syst.","author":"Krizhevsky"},{"key":"ref23","article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Simonyan"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.226"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.76"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00393"},{"key":"ref28","article-title":"Unsupervised representation learning by predicting image rotations","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Gidaris"},{"key":"ref29","article-title":"Learning deep representations by mutual information estimation and maximization","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Hjelm"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00610"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"ref32","article-title":"Representation learning with contrastive predictive coding","author":"Oord","year":"2018"},{"key":"ref33","article-title":"Data-efficient image recognition with contrastive predictive coding","author":"H\u00e9naff","year":"2019"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58621-8_45"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00748"},{"key":"ref36","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Radford"},{"key":"ref37","article-title":"Progressive growing of GANs for improved quality, stability, and variation","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Karras"},{"key":"ref38","article-title":"Large scale GAN training for high fidelity natural image synthesis","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Brock"},{"key":"ref39","article-title":"On the \u201csteerability","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Jahanian"},{"key":"ref40","article-title":"GAN dissection: Visualizing and understanding generative adversarial networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Bau"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00308"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58520-4_35"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01411"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.167"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01267"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00067"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00913"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/3450626.3459838"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1603.08155"},{"key":"ref51","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2015","journal-title":"Proc. Int. Conf. Learn. Representations"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref53","article-title":"LSUN: Construction of a large-scale image dataset using deep learning with humans in the loop","author":"Yu","year":"2015"},{"key":"ref54","article-title":"Labeled faces in the wild: A database for studying face recognition in unconstrained environments","author":"Huang","year":"2007"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10599-4_7"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2895837"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00219"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref59","first-page":"6629","article-title":"GANs trained by a two time-scale update rule converge to a local nash equilibrium","volume-title":"Proc. Adv. Neural Informat. Process. Syst.","author":"Heusel"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00232"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1145\/3544777"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00664"},{"key":"ref63","article-title":"Pyotrch cifar10","author":"Liu","year":"2019"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1126\/science.1127647"},{"key":"ref65","article-title":"Auto-encoding variational bayes","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kingma"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.4324\/9781410605337-29"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01243"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.638"},{"key":"ref69","first-page":"766","article-title":"Discriminative unsupervised feature learning with convolutional neural networks","volume-title":"Proc. Adv. Neural Informat. Process. Syst.","author":"Dosovitskiy"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.167"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_40"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.425"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2016.2603342"},{"key":"ref74","first-page":"4020","article-title":"Unsupervised learning of object landmarks through conditional image generation","volume-title":"Proc. Adv. Neural Informat. Process. Syst.","author":"Jakab"},{"key":"ref75","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"Proc. 38th Int. Conf. Mach. Learn.","author":"Radford"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01001"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/10120646\/09968154.pdf?arnumber=9968154","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,25]],"date-time":"2024-06-25T19:53:54Z","timestamp":1719345234000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9968154\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,1]]},"references-count":76,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2022.3225788","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":[[2023,6,1]]}}}