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DMFormer: Closing the Gap Between CNN and Vision Transformers

DMFormer: Closing the Gap Between CNN and Vision Transformers

Zimian Wei
H. Pan
Lujun Li
Menglong Lu
Xin-Yi Niu
Peijie Dong
Dongsheng Li
    ViT
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Papers citing "DMFormer: Closing the Gap Between CNN and Vision Transformers"

3 / 3 papers shown
Title
Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small Datasets
Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small Datasets
Tianxiao Zhang
Wenju Xu
Bo Luo
Guanghui Wang
ViT
MDE
31
7
0
28 Jul 2024
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong Lu
Ping Luo
Ling Shao
ViT
263
3,604
0
24 Feb 2021
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
261
10,196
0
16 Nov 2016