Fine-tuning CLIP's image encoder with an auxiliary loss that aligns image embeddings to per-class mean text embeddings from LMM-generated descriptions improves test accuracy by 0.6 to 1.0 points on three action and event datasets.
Disturbing image detection using lmm-elicited emotion embeddings
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LMM-Regularized CLIP Embeddings for Image Classification
Fine-tuning CLIP's image encoder with an auxiliary loss that aligns image embeddings to per-class mean text embeddings from LMM-generated descriptions improves test accuracy by 0.6 to 1.0 points on three action and event datasets.