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• W3181158454 abstract "Most existing Vision-and-Language (VL 2) combining CLIP with V&L pre-training and transferring to downstream tasks. We show that CLIP significantly outperforms widely-used visual encoders trained with in-domain annotated data, such as BottomUp-TopDown. We achieve competitive or better results on diverse V&L tasks, while establishing new state-of-the-art results on Visual Question Answering, Visual Entailment, and V&L Navigation tasks. We release our code at this https URL." @default.
• W3181158454 created "2021-07-19" @default.
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• W3181158454 date "2021-07-13" @default.
• W3181158454 modified "2023-09-22" @default.
• W3181158454 title "How Much Can CLIP Benefit Vision-and-Language Tasks?" @default.
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