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Video-language pre-training has advanced the performance of various downstream video-language tasks.
Collecting highly parallel data for paraphrase evaluation
David Chen and William B Dolan · 2011
Earlier work this paper cites.
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Earlier work this paper cites.
Adam: A method for stochastic optimization
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
Cider: Consensus-based image description evaluation
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Earlier work this paper cites.
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Earlier work this paper cites.
Msr-vtt: A large video description dataset for bridging video and language
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
Video question answering via gradually refined attention over appearance and motion
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Earlier work this paper cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
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Earlier work this paper cites.
Stacked cross attention for image-text matching
Kuang-Huei Lee, Xi Chen, Gang Hua, Houdong Hu, and Xiaodong He · 2018
Earlier work this paper cites.
Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Hao Tan and Mohit Bansal · 2019
Earlier work this paper cites.
Activitynet-qa: A dataset for understanding complex web videos via question answering
Zhou Yu, Dejing Xu, Jun Yu, Ting Yu, Zhou Zhao, Yueting Zhuang, and Dacheng Tao · 2019
Earlier work this paper cites.
Uniter: Universal image-text representation learning
Yen-Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy, Faisal Ahmed, Zhe Gan, Yu Cheng, and Jingjing Liu · 2020
Earlier work this paper cites.
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Earlier work this paper cites.
Reasoning with heterogeneous graph alignment for video question answering
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Next-qa: Next phase of question-answering to explaining temporal actions
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Temporal cue guided video highlight detection with low-rank audio-visual fusion
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End-to-end learning of visual representations from uncurated instructional videos
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Actbert: Learning global-local video-text representations
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An empirical study of training self-supervised vision transformers
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