{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T01:55:23Z","timestamp":1783130123514,"version":"3.54.6"},"reference-count":73,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2024,1]]},"DOI":"10.1109\/tpami.2023.3323012","type":"journal-article","created":{"date-parts":[[2023,10,9]],"date-time":"2023-10-09T18:56:48Z","timestamp":1696877808000},"page":"543-560","source":"Crossref","is-referenced-by-count":22,"title":["Simple Primitives With Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-Shot Learning"],"prefix":"10.1109","volume":"46","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2692-2110","authenticated-orcid":false,"given":"Zhe","family":"Liu","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, University of New South Wales, Sydney, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4442-3825","authenticated-orcid":false,"given":"Yun","family":"Li","sequence":"additional","affiliation":[{"name":"CSIRO's Data61, Eveleigh, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4149-839X","authenticated-orcid":false,"given":"Lina","family":"Yao","sequence":"additional","affiliation":[{"name":"CSIRO's Data61, Eveleigh, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7778-8807","authenticated-orcid":false,"given":"Xiaojun","family":"Chang","sequence":"additional","affiliation":[{"name":"Australian Artificial Intelligence Institute, University of Technology Sydney, Sydney, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8052-0994","authenticated-orcid":false,"given":"Wei","family":"Fang","sequence":"additional","affiliation":[{"name":"Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence, Jiangnan University, Wuxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0310-5778","authenticated-orcid":false,"given":"Xiaojun","family":"Wu","sequence":"additional","affiliation":[{"name":"Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence, Jiangnan University, Wuxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7690-8547","authenticated-orcid":false,"given":"Abdulmotaleb El","family":"Saddik","sequence":"additional","affiliation":[{"name":"Department of Computer Vision, Mohamed bin Zayed University of Artificial Intelligence Masdar City, Abu Dhabi, UAE"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3139211"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2021.09.059"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i10.17057"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i4.16458"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00033"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2021.3140070"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2022.3191696"},{"key":"ref8","first-page":"2152","article-title":"An embarrassingly simple approach to zero-shot learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Romera-Paredes"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3293318"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3386252"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3079209"},{"key":"ref12","first-page":"10 641","article-title":"Independent prototype propagation for zero-shot compositionality","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Ruis"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2857768"},{"key":"ref14","first-page":"8821","article-title":"Zero-shot text-to-image generation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Ramesh"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.575"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01246-5_11"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00369"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.129"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01133"},{"key":"ref20","first-page":"1462","article-title":"A causal view of compositional zero-shot recognition","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Atzmon"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00912"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2022.3163667"},{"key":"ref23","article-title":"Revisiting visual product for compositional zero-shot learning","volume-title":"Proc. Workshop Distribution Shifts: Connecting Methods Appl.","author":"Karthik"},{"key":"ref24","first-page":"19849","article-title":"Compositional zero-shot learning via fine-grained dense feature composition","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Huynh"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/tmm.2022.3200578"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00911"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20053-3_20"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01329"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00518"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19815-1_41"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58555-6_35"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01441"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01264-9_15"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.06.009"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00113"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00384"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3462244.3479904"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00101"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_51"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/wacv56688.2023.00382"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3104411"},{"key":"ref42","doi-asserted-by":"crossref","DOI":"10.1109\/ICCV51070.2023.00171","article-title":"Distilled reverse attention network for open-world compositional zero-shot learning","author":"Li","year":"2023"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9747272"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/iccv48922.2021.00877"},{"key":"ref45","first-page":"9216","article-title":"An image is worth more than a thousand words: Towards disentanglement in the wild","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Gabbay"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2022.103412"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01173"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.109949"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00859"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i3.16292"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.09.065"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539453"},{"key":"ref53","article-title":"Glance and focus: A dynamic approach to reducing spatial redundancy in image classification","author":"Wang","year":"2022","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3176282"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3147902"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2022.3194044"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01181"},{"key":"ref58","first-page":"21969","article-title":"Attribute prototype network for zero-shot learning","volume-title":"Proc. 34th Conf. Neural Inf. Process. Syst.","author":"Xu"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.32"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.594"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298744"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00686"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00961"},{"key":"ref64","first-page":"3111","article-title":"Distributed representations of words and phrases and their compositionality","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Mikolov"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00051"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref67","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014"},{"key":"ref68","first-page":"950","article-title":"A simple weight decay can improve generalization","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Krogh"},{"key":"ref69","first-page":"8026","article-title":"PyTorch: An imperative style, high-performance deep learning library","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Paszke"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1145\/1365490.1365500"},{"issue":"11","key":"ref71","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":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3109937"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/CYBER55403.2022.9907617"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/10345401\/10274865.pdf?arnumber=10274865","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T12:55:38Z","timestamp":1730292938000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10274865\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1]]},"references-count":73,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2023.3323012","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":[[2024,1]]}}}