LACVIT: A Label-aware Contrastive Fine-tuning Framework for Vision Transformers

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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Item Type:Conference Proceedings
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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