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The success of large-scale contrastive vision-language pretraining (CLIP) has benefited both visual recognition and multimodal content understanding.
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Human Language Understanding & Reasoning
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Denseclip: Language-guided dense prediction with context-aware prompting
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FILIP: Fine-grained interactive language-image pre-training
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k-means mask transformer
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Regionclip: Region-based language-image pretraining
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Revisiting multimodal representation in contrastive learning: from patch and token embeddings to finite discrete tokens
Yuxiao Chen, Jianbo Yuan, Yu Tian, Shijie Geng, Xinyu Li, Ding Zhou, Dimitris N. Metaxas, and Hongxia Yang · 2023
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