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MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models
Chenglin Yang, Siyuan Qiao, Qihang Yu, Xiaoding Yuan, Yukun Zhu, Alan Yuille, Hartwig Adam, Liang-Chieh Chen
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MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models
Lite Vision Transformer with Enhanced Self-Attention
Chenglin Yang, Yilin Wang, Jianming Zhang, He Zhang, Zijun Wei, Zhe Lin, Alan Yuille
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Lite Vision Transformer with Enhanced Self-Attention
PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning
Chenglin Yang, Adam Kortylewski, Cihang Xie, Yinzhi Cao, Alan Yuille
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PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning
Snapshot Distillation: Teacher-Student Optimization in One Generation
Chenglin Yang, Lingxi Xie, Su Chi, Alan Yuille
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Training Deep Neural Networks in Generations: A More Tolerant Teacher Educates Better Students
Chenglin Yang, Lingxi Xie, Siyuan Qiao, Alan Yuille
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