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State-of-the-art video-text retrieval (VTR) methods typically involve fully fine-tuning a pre-trained model (e.g.
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Earlier work this paper cites.
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X-pool: Cross-modal language-video attention for text-video retrieval
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Uniadapter: Unified parameter-efficient transfer learning for cross-modal modeling
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