MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models

4 October 2022

Siyuan Qiao

Papers citing "MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models"

3 / 53 papers shown

Title
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 242 35,884 0 25 Aug 2016
Semantic Understanding of Scenes through the ADE20K Dataset Bolei Zhou Hang Zhao Xavier Puig Tete Xiao Sanja Fidler Adela Barriuso Antonio Torralba SSeg 243 1,817 0 18 Aug 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014