Long, Z. , McCreadie, R. , Aragon Camarasa, G. and Meng, Z. (2024) LACVIT: A Label-aware Contrastive Fine-tuning Framework for Vision Transformers. In: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2024), Seoul, Korea, 14-19 Apr 2024, (Accepted for Publication)
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316743.pdf - Accepted Version Restricted to Repository staff only 630kB |
Item Type: | Conference Proceedings |
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Status: | Accepted for Publication |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Mccreadie, Dr Richard and Meng, Dr Zaiqiao and LONG, ZIJUN and Aragon Camarasa, Dr Gerardo |
Authors: | Long, Z., McCreadie, R., Aragon Camarasa, G., and Meng, Z. |
College/School: | College of Science and Engineering College of Science and Engineering > School of Computing Science |
Research Centre: | College of Science and Engineering > School of Computing Science > IDA Section > GPU Cluster |
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