{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T21:35:16Z","timestamp":1770845716030,"version":"3.50.1"},"reference-count":37,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,10,5]],"date-time":"2025-10-05T00:00:00Z","timestamp":1759622400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,5]],"date-time":"2025-10-05T00:00:00Z","timestamp":1759622400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,5]]},"DOI":"10.1109\/smc58881.2025.11342795","type":"proceedings-article","created":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T20:54:44Z","timestamp":1769633684000},"page":"3230-3235","source":"Crossref","is-referenced-by-count":0,"title":["Performance Evaluation of the CLIP Model in Classification Tasks"],"prefix":"10.1109","author":[{"given":"Yuxin","family":"Gao","sequence":"first","affiliation":[{"name":"Guilin University of Electronic Technology,Laboratory for AIPM, School of Artificial Intelligence,China"}]},{"given":"Baosheng","family":"Qin","sequence":"additional","affiliation":[{"name":"Guilin University of Electronic Technology,Laboratory for AIPM, School of Artificial Intelligence,China"}]},{"given":"Fenglian","family":"Chen","sequence":"additional","affiliation":[{"name":"Guilin University of Electronic Technology,Laboratory for AIPM, School of Artificial Intelligence,China"}]},{"given":"Xiaohan","family":"Huang","sequence":"additional","affiliation":[{"name":"Guilin University of Electronic Technology,Laboratory for AIPM, School of Artificial Intelligence,China"}]},{"given":"Jiajun","family":"Wu","sequence":"additional","affiliation":[{"name":"Guilin University of Electronic Technology,Laboratory for AIPM, School of Artificial Intelligence,China"}]},{"given":"Yihang","family":"Wu","sequence":"additional","affiliation":[{"name":"Guilin University of Electronic Technology,Laboratory for AIPM, School of Artificial Intelligence,China"}]},{"given":"Ahmad","family":"Chaddad","sequence":"additional","affiliation":[{"name":"Guilin University of Electronic Technology,Laboratory for AIPM, School of Artificial Intelligence,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3325822"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2025.3545574"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI60581.2025.10981184"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN60899.2024.10650602"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-023-01891-x"},{"key":"ref6","article-title":"Tip-adapter: Training-free clip-adapter for better visionlanguage modeling","author":"Zhang","year":"2021"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW60793.2023.00505"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-eacl.88"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01934"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/WACV57701.2024.00746"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.9734\/jerr\/2024\/v26i61188"},{"key":"ref12","article-title":"Improving clip training with language rewrites","author":"Fan","year":"2023"},{"key":"ref13","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2021"},{"key":"ref14","article-title":"Learning transferable visual models from natural language supervision","author":"Radford","year":"2021"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/WACV57701.2024.00562"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-43990-2_38"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI53787.2023.10230623"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72390-2_66"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.emnlp-main.256"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-43895-0_10"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/wacv57701.2024.00746"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s12098-024-05091-4"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2018.161"},{"key":"ref24","article-title":"Ham10000 data tree","year":"2019"},{"key":"ref25","article-title":"Eyes-disease","year":"2023"},{"key":"ref26","article-title":"Benchmarking neural network robustness to common corruptions and perturbations","author":"Hendrycks","year":"2019"},{"key":"ref27","article-title":"Imagenet1000 (mini)","author":"Figotin","year":"2020"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3390\/app13095521"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.5220\/0012622300003690"},{"key":"ref30","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014"},{"key":"ref31","article-title":"Decoupled weight decay regularization","author":"Loshchilov","year":"2017"},{"key":"ref32","first-page":"2024","article-title":"Multimodal deep learning for low-resource settings: A vector embedding alignment approach for healthcare applications","author":"Restrepo","year":"2024","journal-title":"medRxiv"},{"key":"ref33","first-page":"2024","article-title":"Accurate skin lesion classification using multimodal learning on the ham10000 dataset","author":"Adebiyi","year":"2024","journal-title":"medRxiv"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2024.3403167"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72117-5_4"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/WACV57701.2024.00746"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72390-2_50"}],"event":{"name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","location":"Vienna, Austria","start":{"date-parts":[[2025,10,5]]},"end":{"date-parts":[[2025,10,8]]}},"container-title":["2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11342430\/11342431\/11342795.pdf?arnumber=11342795","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T20:51:29Z","timestamp":1770843089000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11342795\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,5]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/smc58881.2025.11342795","relation":{},"subject":[],"published":{"date-parts":[[2025,10,5]]}}}