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X$^2$-VLM: All-In-One Pre-trained Model For Vision-Language Tasks

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X $^2$ -VLM: All-In-One Pre-trained Model For Vision-Language Tasks

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022

22 November 2022

Hkust Wangchunshu Zhou

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Papers citing "X$^2$-VLM: All-In-One Pre-trained Model For Vision-Language Tasks"

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RLIPv2: Fast Scaling of Relational Language-Image Pre-trainingIEEE International Conference on Computer Vision (ICCV), 2023 Hangjie Yuan Shiwei Zhang Xiang Wang Samuel Albanie Yining Pan Tao Feng Jianwen Jiang Dong Ni Yingya Zhang Deli Zhao VLM 200 60 0 18 Aug 2023
Vision Language Transformers: A Survey Clayton Fields C. Kennington VLM 146 6 0 06 Jul 2023
Toward Building General Foundation Models for Language, Vision, and Vision-Language Understanding TasksConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Xinsong Zhang Yan Zeng Jipeng Zhang Hang Li VLM AI4CE LRM 278 18 0 12 Jan 2023
Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-trainingAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 Yan Zeng Wangchunshu Zhou Ao Luo Ziming Cheng Xinsong Zhang VLM 261 37 0 01 Jun 2022