TahaKoleilat/BiomedCoOp

Biomedical Few-shot Image Classification for Vision-Language Models Overview Recent advancements in vision-language models (VLMs), such as CLIP, have demonstrated substantial success in self-supervised representation learning for vision tasks. However, effectively adapting VLMs to downstream applications remains challenging, as their accuracy often depends on time-intensive and expertise-demanding prompt engineering, while full model fine-tuning is… See the full description on the dataset page: https://huggingface.co/datasets/TahaKoleilat/BiomedCoOp.

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