ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2307.09283
  4. Cited By
RepViT: Revisiting Mobile CNN From ViT Perspective

RepViT: Revisiting Mobile CNN From ViT Perspective

18 July 2023
Ao Wang
Hui Chen
Zijia Lin
Hengjun Pu
Guiguang Ding
ArXivPDFHTML

Papers citing "RepViT: Revisiting Mobile CNN From ViT Perspective"

16 / 66 papers shown
Title
SRSNetwork: Siamese Reconstruction-Segmentation Networks based on
  Dynamic-Parameter Convolution
SRSNetwork: Siamese Reconstruction-Segmentation Networks based on Dynamic-Parameter Convolution
Bingkun Nian
Fenghe Tang
Jianrui Ding
Pingping Zhang
Jie-jin Yang
S.Kevin Zhou
Wei Liu
22
0
0
04 Dec 2023
MobileUtr: Revisiting the relationship between light-weight CNN and
  Transformer for efficient medical image segmentation
MobileUtr: Revisiting the relationship between light-weight CNN and Transformer for efficient medical image segmentation
Fenghe Tang
Bingkun Nian
Jianrui Ding
Quan Quan
Jie-jin Yang
Wei Liu
S.Kevin Zhou
ViT
MedIm
18
3
0
04 Dec 2023
OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong
  Baseline
OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline
Xianda Guo
Chenming Zhang
Juntao Lu
Yiqi Wang
Yiqun Duan
Tian Yang
Zheng Zhu
Long Chen
3DV
14
15
0
01 Dec 2023
EViT: An Eagle Vision Transformer with Bi-Fovea Self-Attention
EViT: An Eagle Vision Transformer with Bi-Fovea Self-Attention
Yulong Shi
Mingwei Sun
Yongshuai Wang
Hui Sun
Zengqiang Chen
29
3
0
10 Oct 2023
Lightweight Full-Convolutional Siamese Tracker
Lightweight Full-Convolutional Siamese Tracker
Yunfeng Li
Bo Wang
Xueyi Wu
Zhuoyan Liu
Ye Li
20
8
0
09 Oct 2023
BiFormer: Vision Transformer with Bi-Level Routing Attention
BiFormer: Vision Transformer with Bi-Level Routing Attention
Lei Zhu
Xinjiang Wang
Zhanghan Ke
Wayne Zhang
Rynson W. H. Lau
123
438
0
15 Mar 2023
MobileViTv3: Mobile-Friendly Vision Transformer with Simple and
  Effective Fusion of Local, Global and Input Features
MobileViTv3: Mobile-Friendly Vision Transformer with Simple and Effective Fusion of Local, Global and Input Features
S. Wadekar
Abhishek Chaurasia
ViT
93
85
0
30 Sep 2022
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision
  Transformer
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer
Sachin Mehta
Mohammad Rastegari
ViT
189
1,148
0
05 Oct 2021
PP-LCNet: A Lightweight CPU Convolutional Neural Network
PP-LCNet: A Lightweight CPU Convolutional Neural Network
Cheng Cui
Tingquan Gao
Shengyun Wei
Yuning Du
Ruoyu Guo
...
X. Lv
Qiwen Liu
Xiaoguang Hu
Dianhai Yu
Yanjun Ma
ObjD
34
111
0
17 Sep 2021
Mobile-Former: Bridging MobileNet and Transformer
Mobile-Former: Bridging MobileNet and Transformer
Yinpeng Chen
Xiyang Dai
Dongdong Chen
Mengchen Liu
Xiaoyi Dong
Lu Yuan
Zicheng Liu
ViT
172
462
0
12 Aug 2021
CMT: Convolutional Neural Networks Meet Vision Transformers
CMT: Convolutional Neural Networks Meet Vision Transformers
Jianyuan Guo
Kai Han
Han Wu
Yehui Tang
Chunjing Xu
Yunhe Wang
Chang Xu
ViT
331
500
0
13 Jul 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
3,538
0
24 Feb 2021
RepVGG: Making VGG-style ConvNets Great Again
RepVGG: Making VGG-style ConvNets Great Again
Xiaohan Ding
X. Zhang
Ningning Ma
Jungong Han
Guiguang Ding
Jian-jun Sun
117
1,484
0
11 Jan 2021
Simple Copy-Paste is a Strong Data Augmentation Method for Instance
  Segmentation
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi
Yin Cui
A. Srinivas
Rui Qian
Tsung-Yi Lin
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
223
962
0
13 Dec 2020
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
20,214
0
17 Apr 2017
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
124
7,284
0
05 Jun 2015
Previous
12