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A ConvNet for the 2020s

A ConvNet for the 2020s

10 January 2022
Zhuang Liu
Hanzi Mao
Chaozheng Wu
Christoph Feichtenhofer
Trevor Darrell
Saining Xie
    ViT
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Papers citing "A ConvNet for the 2020s"

34 / 2,184 papers shown
Title
ConvNeXt-backbone HoVerNet for nuclei segmentation and classification
ConvNeXt-backbone HoVerNet for nuclei segmentation and classification
Jiachen Li
Chixin Wang
Banban Huang
Zekun Zhou
9
11
0
28 Feb 2022
Visual Attention Network
Visual Attention Network
Meng-Hao Guo
Chengrou Lu
Zheng-Ning Liu
Ming-Ming Cheng
Shiyong Hu
ViT
VLM
14
620
0
20 Feb 2022
It's Raw! Audio Generation with State-Space Models
It's Raw! Audio Generation with State-Space Models
Karan Goel
Albert Gu
Chris Donahue
Christopher Ré
6
184
0
20 Feb 2022
Mixing and Shifting: Exploiting Global and Local Dependencies in Vision
  MLPs
Mixing and Shifting: Exploiting Global and Local Dependencies in Vision MLPs
Huangjie Zheng
Pengcheng He
Weizhu Chen
Mingyuan Zhou
6
14
0
14 Feb 2022
Feature-level augmentation to improve robustness of deep neural networks
  to affine transformations
Feature-level augmentation to improve robustness of deep neural networks to affine transformations
A. Sandru
Mariana-Iuliana Georgescu
Radu Tudor Ionescu
OOD
8
3
0
10 Feb 2022
Corrupted Image Modeling for Self-Supervised Visual Pre-Training
Corrupted Image Modeling for Self-Supervised Visual Pre-Training
Yuxin Fang
Li Dong
Hangbo Bao
Xinggang Wang
Furu Wei
9
86
0
07 Feb 2022
A Note on "Assessing Generalization of SGD via Disagreement"
A Note on "Assessing Generalization of SGD via Disagreement"
Andreas Kirsch
Y. Gal
FedML
UQCV
8
15
0
03 Feb 2022
Metrics for saliency map evaluation of deep learning explanation methods
Metrics for saliency map evaluation of deep learning explanation methods
T. Gomez
Thomas Fréour
Harold Mouchère
XAI
FAtt
59
41
0
31 Jan 2022
Adversarial Masking for Self-Supervised Learning
Adversarial Masking for Self-Supervised Learning
Yuge Shi
N. Siddharth
Philip H. S. Torr
Adam R. Kosiorek
SSL
46
81
0
31 Jan 2022
Transformers in Medical Imaging: A Survey
Transformers in Medical Imaging: A Survey
Fahad Shamshad
Salman Khan
Syed Waqas Zamir
Muhammad Haris Khan
Munawar Hayat
F. Khan
H. Fu
ViT
LM&MA
MedIm
106
653
0
24 Jan 2022
Patches Are All You Need?
Patches Are All You Need?
Asher Trockman
J. Zico Kolter
ViT
214
395
0
24 Jan 2022
Vision-Based UAV Self-Positioning in Low-Altitude Urban Environments
Vision-Based UAV Self-Positioning in Low-Altitude Urban Environments
Ming Dai
E. Zheng
Zhenhua Feng
Jiedong Zhuang
Wankou Yang
30
31
0
23 Jan 2022
Representation Topology Divergence: A Method for Comparing Neural
  Network Representations
Representation Topology Divergence: A Method for Comparing Neural Network Representations
S. Barannikov
I. Trofimov
Nikita Balabin
Evgeny Burnaev
3DPC
15
45
0
31 Dec 2021
Dilated convolution with learnable spacings
Dilated convolution with learnable spacings
Ismail Khalfaoui-Hassani
Thomas Pellegrini
T. Masquelier
8
31
0
07 Dec 2021
SWAT: Spatial Structure Within and Among Tokens
SWAT: Spatial Structure Within and Among Tokens
Kumara Kahatapitiya
Michael S. Ryoo
12
6
0
26 Nov 2021
TDAM: Top-Down Attention Module for Contextually Guided Feature
  Selection in CNNs
TDAM: Top-Down Attention Module for Contextually Guided Feature Selection in CNNs
Shantanu Jaiswal
Basura Fernando
Cheston Tan
ViT
23
13
0
26 Nov 2021
TransMorph: Transformer for unsupervised medical image registration
TransMorph: Transformer for unsupervised medical image registration
Junyu Chen
Eric C. Frey
Yufan He
W. Paul Segars
Ye Li
Yong Du
ViT
MedIm
13
186
0
19 Nov 2021
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,337
0
11 Nov 2021
Are we ready for a new paradigm shift? A Survey on Visual Deep MLP
Are we ready for a new paradigm shift? A Survey on Visual Deep MLP
Ruiyang Liu
Yinghui Li
Li Tao
Dun Liang
Haitao Zheng
77
96
0
07 Nov 2021
StARformer: Transformer with State-Action-Reward Representations for
  Visual Reinforcement Learning
StARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement Learning
Jinghuan Shang
Kumara Kahatapitiya
Xiang Li
Michael S. Ryoo
OffRL
22
33
0
12 Oct 2021
TAda! Temporally-Adaptive Convolutions for Video Understanding
TAda! Temporally-Adaptive Convolutions for Video Understanding
Ziyuan Huang
Shiwei Zhang
Liang Pan
Zhiwu Qing
Mingqian Tang
Ziwei Liu
M. Ang
35
49
0
12 Oct 2021
ResNet strikes back: An improved training procedure in timm
ResNet strikes back: An improved training procedure in timm
Ross Wightman
Hugo Touvron
Hervé Jégou
AI4TS
201
477
0
01 Oct 2021
Augmentation Pathways Network for Visual Recognition
Augmentation Pathways Network for Visual Recognition
Yalong Bai
Mohan Zhou
Wei Zhang
Bowen Zhou
Tao Mei
20
3
0
26 Jul 2021
Memory-aware curriculum federated learning for breast cancer
  classification
Memory-aware curriculum federated learning for breast cancer classification
Amelia Jiménez-Sánchez
Mickael Tardy
M. A. G. Ballester
Diana Mateus
Gemma Piella
OOD
17
84
0
06 Jul 2021
Integrating Large Circular Kernels into CNNs through Neural Architecture
  Search
Integrating Large Circular Kernels into CNNs through Neural Architecture Search
Kun He
Chao Li
Yixiao Yang
Gao Huang
J. Hopcroft
4
10
0
06 Jul 2021
Large-scale Unsupervised Semantic Segmentation
Large-scale Unsupervised Semantic Segmentation
Shangqi Gao
Zhong-Yu Li
Ming-Hsuan Yang
Mingg-Ming Cheng
Junwei Han
Philip H. S. Torr
UQCV
25
84
0
06 Jun 2021
On the Adversarial Robustness of Vision Transformers
On the Adversarial Robustness of Vision Transformers
Rulin Shao
Zhouxing Shi
Jinfeng Yi
Pin-Yu Chen
Cho-Jui Hsieh
ViT
10
135
0
29 Mar 2021
USB: Universal-Scale Object Detection Benchmark
USB: Universal-Scale Object Detection Benchmark
Yosuke Shinya
ObjD
6
13
0
25 Mar 2021
AutoMix: Unveiling the Power of Mixup for Stronger Classifiers
AutoMix: Unveiling the Power of Mixup for Stronger Classifiers
Zicheng Liu
Siyuan Li
Di Wu
Jianzhu Guo
Zhiyuan Chen
Lirong Wu
Stan Z. Li
24
72
0
24 Mar 2021
Bottleneck Transformers for Visual Recognition
Bottleneck Transformers for Visual Recognition
A. Srinivas
Tsung-Yi Lin
Niki Parmar
Jonathon Shlens
Pieter Abbeel
Ashish Vaswani
SLR
267
955
0
27 Jan 2021
MIMOSA: Reducing Malware Analysis Overhead with Coverings
MIMOSA: Reducing Malware Analysis Overhead with Coverings
Mohsen Ahmadi
Kevin Leach
Ryan E. Dougherty
Stephanie Forrest
Westley Weimer
6
8
0
18 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
20,214
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
261
10,106
0
16 Nov 2016
Semantic Understanding of Scenes through the ADE20K Dataset
Semantic Understanding of Scenes through the ADE20K Dataset
Bolei Zhou
Hang Zhao
Xavier Puig
Tete Xiao
Sanja Fidler
Adela Barriuso
Antonio Torralba
SSeg
249
1,817
0
18 Aug 2016
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