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Large-scale vision-language models (VLMs) pre-trained on billion-level data have learned general visual representations and broad visual concepts.
Evolutionary principles in self-referential learning, or on learning how to learn: the meta-meta-… hook
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Align before fuse: Vision and language representation learning with momentum distillation
Junnan Li, Ramprasaath Selvaraju, Akhilesh Gotmare, Shafiq Joty, Caiming Xiong, and Steven Chu Hong Hoi · 2021
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Supervision exists everywhere: A data efficient contrastive language-image pre-training paradigm
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Swin transformer: Hierarchical vision transformer using shifted windows
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Zhihe Lu, Sen He, Xiatian Zhu, Li Zhang, Yi-Zhe Song, and Tao Xiang · 2021
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Tokens-to-token vit: Training vision transformers from scratch on imagenet
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