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X-volution: On the unification of convolution and self-attention

X-volution: On the unification of convolution and self-attention

4 June 2021
Xuanhong Chen
Hang Wang
Bingbing Ni
    ViT
ArXivPDFHTML

Papers citing "X-volution: On the unification of convolution and self-attention"

34 / 34 papers shown
Title
Thinking Fast and Slow: Efficient Text-to-Visual Retrieval with
  Transformers
Thinking Fast and Slow: Efficient Text-to-Visual Retrieval with Transformers
Antoine Miech
Jean-Baptiste Alayrac
Ivan Laptev
Josef Sivic
Andrew Zisserman
ViT
37
138
0
30 Mar 2021
CvT: Introducing Convolutions to Vision Transformers
CvT: Introducing Convolutions to Vision Transformers
Haiping Wu
Bin Xiao
Noel Codella
Mengchen Liu
Xiyang Dai
Lu Yuan
Lei Zhang
ViT
111
1,891
0
29 Mar 2021
Transformer Tracking
Transformer Tracking
Xin Chen
Bin Yan
Jiawen Zhu
Dong Wang
Xiaoyun Yang
Huchuan Lu
ViT
44
950
0
29 Mar 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
319
21,175
0
25 Mar 2021
Scaling Local Self-Attention for Parameter Efficient Visual Backbones
Scaling Local Self-Attention for Parameter Efficient Visual Backbones
Ashish Vaswani
Prajit Ramachandran
A. Srinivas
Niki Parmar
Blake A. Hechtman
Jonathon Shlens
65
398
0
23 Mar 2021
Involution: Inverting the Inherence of Convolution for Visual
  Recognition
Involution: Inverting the Inherence of Convolution for Visual Recognition
Duo Li
Jie Hu
Changhu Wang
Xiangtai Li
Qi She
Lei Zhu
Tong Zhang
Qifeng Chen
BDL
32
303
0
10 Mar 2021
Bottleneck Transformers for Visual Recognition
Bottleneck Transformers for Visual Recognition
A. Srinivas
Nayeon Lee
Niki Parmar
Jonathon Shlens
Pieter Abbeel
Ashish Vaswani
SLR
319
986
0
27 Jan 2021
RepVGG: Making VGG-style ConvNets Great Again
RepVGG: Making VGG-style ConvNets Great Again
Xiaohan Ding
Xinming Zhang
Ningning Ma
Jungong Han
Guiguang Ding
Jian Sun
219
1,567
0
11 Jan 2021
Taming Transformers for High-Resolution Image Synthesis
Taming Transformers for High-Resolution Image Synthesis
Patrick Esser
Robin Rombach
Bjorn Ommer
ViT
95
2,890
0
17 Dec 2020
End-to-End Human Pose and Mesh Reconstruction with Transformers
End-to-End Human Pose and Mesh Reconstruction with Transformers
Kevin Qinghong Lin
Lijuan Wang
Zicheng Liu
ViT
61
621
0
17 Dec 2020
Deformable DETR: Deformable Transformers for End-to-End Object Detection
Deformable DETR: Deformable Transformers for End-to-End Object Detection
Xizhou Zhu
Weijie Su
Lewei Lu
Bin Li
Xiaogang Wang
Jifeng Dai
ViT
164
4,993
0
08 Oct 2020
End-to-End Object Detection with Transformers
End-to-End Object Detection with Transformers
Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
ViT
3DV
PINN
297
12,906
0
26 May 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
256
42,038
0
03 Dec 2019
On the Relationship between Self-Attention and Convolutional Layers
On the Relationship between Self-Attention and Convolutional Layers
Jean-Baptiste Cordonnier
Andreas Loukas
Martin Jaggi
89
530
0
08 Nov 2019
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural
  Networks
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
Qilong Wang
Banggu Wu
Peng Fei Zhu
P. Li
W. Zuo
Q. Hu
124
3,957
0
08 Oct 2019
Attention Augmented Convolutional Networks
Attention Augmented Convolutional Networks
Irwan Bello
Barret Zoph
Ashish Vaswani
Jonathon Shlens
Quoc V. Le
123
1,008
0
22 Apr 2019
On the Turing Completeness of Modern Neural Network Architectures
On the Turing Completeness of Modern Neural Network Architectures
Jorge A. Pérez
Javier Marinkovic
Pablo Barceló
BDL
48
144
0
10 Jan 2019
CBAM: Convolutional Block Attention Module
CBAM: Convolutional Block Attention Module
Sanghyun Woo
Jongchan Park
Joon-Young Lee
In So Kweon
174
16,337
0
17 Jul 2018
Self-Attention with Relative Position Representations
Self-Attention with Relative Position Representations
Peter Shaw
Jakob Uszkoreit
Ashish Vaswani
117
2,269
0
06 Mar 2018
Non-local Neural Networks
Non-local Neural Networks
Xinyu Wang
Ross B. Girshick
Abhinav Gupta
Kaiming He
OffRL
213
8,867
0
21 Nov 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
336
26,241
0
05 Sep 2017
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Chen Sun
Abhinav Shrivastava
Saurabh Singh
Abhinav Gupta
VLM
108
2,386
0
10 Jul 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
443
129,831
0
12 Jun 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
300
27,018
0
20 Mar 2017
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
418
21,951
0
09 Dec 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
626
36,599
0
25 Aug 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.4K
192,638
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
478
27,231
0
02 Dec 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
410
61,900
0
04 Jun 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
300
43,154
0
11 Feb 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
928
99,991
0
04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
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
1.1K
39,383
0
01 Sep 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
252
43,290
0
01 May 2014
Efficient Inference in Fully Connected CRFs with Gaussian Edge
  Potentials
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
Philipp Krahenbuhl
V. Koltun
97
3,445
0
20 Oct 2012
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