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Semantic bias in image-text matching in humans versus vision-language pretraining AI models
Recent research has shown that vision-language pretrain-ing (VLP) models using contrastive learning (Contrastive Language Image Pretraining, CLIP) has a semantic bias to-wards using concrete words during image-text matching. Here we showed that as compared with CLIP, humans at-tended more to abstrac
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