{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T23:01:27Z","timestamp":1776121287467,"version":"3.50.1"},"reference-count":55,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T00:00:00Z","timestamp":1719792000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T00:00:00Z","timestamp":1719792000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T00:00:00Z","timestamp":1719792000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100002367","name":"Strategic Priority Research Program of the Chinese Academy of Sciences","doi-asserted-by":"publisher","award":["XDA27040811"],"award-info":[{"award-number":["XDA27040811"]}],"id":[{"id":"10.13039\/501100002367","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61991423"],"award-info":[{"award-number":["61991423"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62376269"],"award-info":[{"award-number":["62376269"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1805264"],"award-info":[{"award-number":["U1805264"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100009592","name":"Beijing Municipal Science and Technology Project","doi-asserted-by":"publisher","award":["Z211100011021004"],"award-info":[{"award-number":["Z211100011021004"]}],"id":[{"id":"10.13039\/501100009592","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Circuits Syst. Video Technol."],"published-print":{"date-parts":[[2024,7]]},"DOI":"10.1109\/tcsvt.2024.3359238","type":"journal-article","created":{"date-parts":[[2024,1,29]],"date-time":"2024-01-29T18:50:59Z","timestamp":1706554259000},"page":"5641-5652","source":"Crossref","is-referenced-by-count":12,"title":["Adaptive Conditional Denoising Diffusion Model With Hybrid Affinity Regularizer for Generalized Zero-Shot Learning"],"prefix":"10.1109","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2044-0615","authenticated-orcid":false,"given":"Mengyu","family":"Gao","sequence":"first","affiliation":[{"name":"State Key Laboratory of Multimodal Artificial Intelligence Systems and the Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4015-1615","authenticated-orcid":false,"given":"Qiulei","family":"Dong","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Multimodal Artificial Intelligence Systems and the Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2857768"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3229526"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2881926"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3208256"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3243205"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3067067"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00454"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3147902"},{"issue":"2","key":"ref9","doi-asserted-by":"crossref","first-page":"414","DOI":"10.1109\/TCDS.2020.3044313","article-title":"Learning multipart attention neural network for zero-shot classification","volume":"14","author":"Meng","year":"2022","journal-title":"IEEE Trans. Cognit. Develop. Syst."},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01472"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00909"},{"key":"ref12","article-title":"GSMFlow: Generation shifts mitigating flow for generalized zero-shot learning","author":"Chen","year":"2022","journal-title":"arXiv:2207.01798"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3272111"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3239390"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3142958"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2022.3164142"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.5555\/2969033.2969125"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1312.6114"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00581"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3282971"},{"key":"ref21","article-title":"Wasserstein GAN","author":"Arjovsky","year":"2017","journal-title":"arXiv:1701.07875"},{"key":"ref22","article-title":"Towards deeper understanding of variational autoencoding models","author":"Zhao","year":"2017","journal-title":"arXiv:1702.08658"},{"key":"ref23","first-page":"2256","article-title":"Deep unsupervised learning using nonequilibrium thermodynamics","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Sohl-Dickstein"},{"key":"ref24","article-title":"Denoising diffusion probabilistic models","author":"Ho","year":"2020","journal-title":"arXiv:2006.11239"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3238179"},{"key":"ref27","article-title":"Imagic: Text-based real image editing with diffusion models","author":"Kawar","year":"2022","journal-title":"arXiv:2210.09276"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICVGIP.2008.47"},{"key":"ref29","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2022.3201883"},{"key":"ref31","first-page":"16622","article-title":"HSVA: Hierarchical semantic-visual adaptation for zero-shot learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Chen"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3100552"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2020.2984666"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00746"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2022.3155602"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i1.25114"},{"key":"ref37","article-title":"Analyzing inverse problems with invertible neural networks","author":"Ardizzone","year":"2018","journal-title":"arXiv:1808.04730"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58517-4_36"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.3047546"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01623"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6821"},{"key":"ref42","first-page":"47:1","article-title":"Cascaded diffusion models for high fidelity image generation","volume":"23","author":"Ho","year":"2021","journal-title":"J. Mach. Learn. Res."},{"key":"ref43","article-title":"Classifier-free diffusion guidance","author":"Ho","year":"2022","journal-title":"arXiv:2207.12598"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref45","article-title":"Improved denoising diffusion probabilistic models","author":"Nichol","year":"2021","journal-title":"arXiv:2102.09672"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.140"},{"key":"ref47","article-title":"The Caltech-UCSD birds-200-2011 dataset","author":"Wah","year":"2011"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2487986"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00294"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00758"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58542-6_29"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00240"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00019"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i1.20002"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i6.20614"}],"container-title":["IEEE Transactions on Circuits and Systems for Video Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/76\/10582818\/10415463.pdf?arnumber=10415463","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,3]],"date-time":"2024-07-03T17:43:01Z","timestamp":1720028581000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10415463\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7]]},"references-count":55,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/tcsvt.2024.3359238","relation":{},"ISSN":["1051-8215","1558-2205"],"issn-type":[{"value":"1051-8215","type":"print"},{"value":"1558-2205","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,7]]}}}