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cs.CV2026
Re-calibrated Contrastive Loss for Transformation-Aware Prompt Conditioning in Vision-Language Models
Seungmin Oh, Seunghun Kang, Jongbin Ryu
Ensuring effective transfer learning for vision-language models without compromising their generalization performance is crucial. However, many existing methods overlook data chara…
cs.CV2023★ 1 cited
Fine-Grained Self-Supervised Learning with Jigsaw Puzzles for Medical Image Classification
Wongi Park, Jongbin Ryu
Classifying fine-grained lesions is challenging due to minor and subtle differences in medical images. This is because learning features of fine-grained lesions with highly minor d…