1

CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer
Yao Mu, Shoufa Chen, Mingyu Ding, Jianyu Chen, Runjian Chen, Ping Luo
CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer
CycleMLP: A MLP-like Architecture for Dense Prediction
This paper presents a simple MLP-like architecture, CycleMLP, which is a versatile backbone for visual recognition and dense …
Shoufa Chen, Enze Xie, Chongjian GE, Runjian Chen, Ding Liang, Ping Luo
CycleMLP: A MLP-like Architecture for Dense Prediction