April 2, 2024, 7:47 p.m. | Sanghyun Jo, Soohyun Ryu, Sungyub Kim, Eunho Yang, Kyungsu Kim

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.00384v1 Announce Type: new
Abstract: We identify a critical bias in contemporary CLIP-based models, which we denote as \textit{single tag bias}. This bias manifests as a disproportionate focus on a singular tag (word) while neglecting other pertinent tags, stemming from CLIP's text embeddings that prioritize one specific tag in image-text relationships. When deconstructing text into individual tags, only one tag tends to have high relevancy with CLIP's image embedding, leading to an imbalanced tag relevancy. This results in an uneven …

alignment arxiv bias clip cs.cv distillation image tag text type

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