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On the Connection between Local Attention and Dynamic Depth-wise
  Convolution

On the Connection between Local Attention and Dynamic Depth-wise Convolution

8 June 2021
Qi Han
Zejia Fan
Qi Dai
Lei-huan Sun
Ming-Ming Cheng
Jiaying Liu
Jingdong Wang
    ViT
ArXivPDFHTML

Papers citing "On the Connection between Local Attention and Dynamic Depth-wise Convolution"

26 / 26 papers shown
Title
Adaptive Dual-domain Learning for Underwater Image Enhancement
Adaptive Dual-domain Learning for Underwater Image Enhancement
Lingtao Peng
Liheng Bian
22
0
0
27 Apr 2025
VMamba: Visual State Space Model
VMamba: Visual State Space Model
Yue Liu
Yunjie Tian
Yuzhong Zhao
Hongtian Yu
Lingxi Xie
Yaowei Wang
Qixiang Ye
Jianbin Jiao
Yunfan Liu
Mamba
113
609
0
31 Dec 2024
Router-Tuning: A Simple and Effective Approach for Enabling Dynamic-Depth in Transformers
Router-Tuning: A Simple and Effective Approach for Enabling Dynamic-Depth in Transformers
Shwai He
Tao Ge
Guoheng Sun
Bowei Tian
Xiaoyang Wang
Ang Li
MoE
46
1
0
17 Oct 2024
MALT: Multi-scale Action Learning Transformer for Online Action
  Detection
MALT: Multi-scale Action Learning Transformer for Online Action Detection
Zhipeng Yang
Ruoyu Wang
Yang Tan
Liping Xie
OffRL
38
1
0
31 May 2024
Enhancing Efficiency in Vision Transformer Networks: Design Techniques
  and Insights
Enhancing Efficiency in Vision Transformer Networks: Design Techniques and Insights
Moein Heidari
Reza Azad
Sina Ghorbani Kolahi
René Arimond
Leon Niggemeier
...
Afshin Bozorgpour
Ehsan Khodapanah Aghdam
A. Kazerouni
I. Hacihaliloglu
Dorit Merhof
41
7
0
28 Mar 2024
HIRI-ViT: Scaling Vision Transformer with High Resolution Inputs
HIRI-ViT: Scaling Vision Transformer with High Resolution Inputs
Ting Yao
Yehao Li
Yingwei Pan
Tao Mei
ViT
23
15
0
18 Mar 2024
TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual Recognition
TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual Recognition
Meng Lou
Hong-Yu Zhou
Sibei Yang
Yizhou Yu
Chuan Wu
Yizhou Yu
ViT
36
36
0
30 Oct 2023
Dual Aggregation Transformer for Image Super-Resolution
Dual Aggregation Transformer for Image Super-Resolution
Zheng Chen
Yulun Zhang
Jinjin Gu
L. Kong
Xiaokang Yang
F. I. F. Richard Yu
ViT
11
167
0
07 Aug 2023
Frequency Disentangled Features in Neural Image Compression
Frequency Disentangled Features in Neural Image Compression
Ali Zafari
Atefeh Khoshkhahtinat
P. Mehta
Mohammad Saeed Ebrahimi Saadabadi
Mohammad Akyash
Nasser M. Nasrabadi
40
14
0
04 Aug 2023
InceptionNeXt: When Inception Meets ConvNeXt
InceptionNeXt: When Inception Meets ConvNeXt
Weihao Yu
Pan Zhou
Shuicheng Yan
Xinchao Wang
45
117
0
29 Mar 2023
Transformers in Speech Processing: A Survey
Transformers in Speech Processing: A Survey
S. Latif
Aun Zaidi
Heriberto Cuayáhuitl
Fahad Shamshad
Moazzam Shoukat
Junaid Qadir
40
47
0
21 Mar 2023
DLGSANet: Lightweight Dynamic Local and Global Self-Attention Networks
  for Image Super-Resolution
DLGSANet: Lightweight Dynamic Local and Global Self-Attention Networks for Image Super-Resolution
Xiang Li
Jin-shan Pan
Jinhui Tang
Jiangxin Dong
37
31
0
05 Jan 2023
A Close Look at Spatial Modeling: From Attention to Convolution
A Close Look at Spatial Modeling: From Attention to Convolution
Xu Ma
Huan Wang
Can Qin
Kunpeng Li
Xing Zhao
Jie Fu
Yun Fu
ViT
3DPC
17
11
0
23 Dec 2022
Reversible Column Networks
Reversible Column Networks
Yuxuan Cai
Yi Zhou
Qi Han
Jianjian Sun
Xiangwen Kong
Jun Yu Li
Xiangyu Zhang
VLM
29
53
0
22 Dec 2022
Rethinking Vision Transformers for MobileNet Size and Speed
Rethinking Vision Transformers for MobileNet Size and Speed
Yanyu Li
Ju Hu
Yang Wen
Georgios Evangelidis
Kamyar Salahi
Yanzhi Wang
Sergey Tulyakov
Jian Ren
ViT
25
159
0
15 Dec 2022
Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition
Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition
Qibin Hou
Cheng Lu
Mingg-Ming Cheng
Jiashi Feng
ViT
23
129
0
22 Nov 2022
MetaFormer Baselines for Vision
MetaFormer Baselines for Vision
Weihao Yu
Chenyang Si
Pan Zhou
Mi Luo
Yichen Zhou
Jiashi Feng
Shuicheng Yan
Xinchao Wang
MoE
23
156
0
24 Oct 2022
EfficientFormer: Vision Transformers at MobileNet Speed
EfficientFormer: Vision Transformers at MobileNet Speed
Yanyu Li
Geng Yuan
Yang Wen
Eric Hu
Georgios Evangelidis
Sergey Tulyakov
Yanzhi Wang
Jian Ren
ViT
16
346
0
02 Jun 2022
Unified GCNs: Towards Connecting GCNs with CNNs
Unified GCNs: Towards Connecting GCNs with CNNs
Ziyan Zhang
Bo Jiang
Bin Luo
GNN
23
1
0
26 Apr 2022
3D Shuffle-Mixer: An Efficient Context-Aware Vision Learner of
  Transformer-MLP Paradigm for Dense Prediction in Medical Volume
3D Shuffle-Mixer: An Efficient Context-Aware Vision Learner of Transformer-MLP Paradigm for Dense Prediction in Medical Volume
Jianye Pang
Cheng Jiang
Yihao Chen
Jianbo Chang
M. Feng
Renzhi Wang
Jianhua Yao
ViT
MedIm
28
11
0
14 Apr 2022
MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
244
2,600
0
04 May 2021
Transformer in Transformer
Transformer in Transformer
Kai Han
An Xiao
Enhua Wu
Jianyuan Guo
Chunjing Xu
Yunhe Wang
ViT
282
1,523
0
27 Feb 2021
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
3,622
0
24 Feb 2021
Transformers in Vision: A Survey
Transformers in Vision: A Survey
Salman Khan
Muzammal Naseer
Munawar Hayat
Syed Waqas Zamir
F. Khan
M. Shah
ViT
227
2,428
0
04 Jan 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
948
20,549
0
17 Apr 2017
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
288
10,214
0
16 Nov 2016
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