MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models

Chenglin Yang, Siyuan Qiao, Qihang Yu, Xiaoding Yuan, Yukun Zhu, Alan L. Yuille, Hartwig Adam, Liang-Chieh Chen. MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models. In The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023. OpenReview.net, 2023. [doi]

Authors

Chenglin Yang

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Siyuan Qiao

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Qihang Yu

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Xiaoding Yuan

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Yukun Zhu

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Alan L. Yuille

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Hartwig Adam

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Liang-Chieh Chen

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