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CutMix: Regularization Strategy to Train Strong Classifiers with
  Localizable Features

CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features

13 May 2019
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
    OOD
ArXivPDFHTML

Papers citing "CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features"

50 / 2,500 papers shown
Title
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
27
14
0
14 Feb 2022
A Data Augmentation Method for Fully Automatic Brain Tumor Segmentation
A Data Augmentation Method for Fully Automatic Brain Tumor Segmentation
Yu Wang
Ya-Liang Ji
Hongbing Xiao
17
27
0
13 Feb 2022
BViT: Broad Attention based Vision Transformer
BViT: Broad Attention based Vision Transformer
Nannan Li
Yaran Chen
Weifan Li
Zixiang Ding
Dong Zhao
ViT
43
23
0
13 Feb 2022
Fast Adversarial Training with Noise Augmentation: A Unified Perspective
  on RandStart and GradAlign
Fast Adversarial Training with Noise Augmentation: A Unified Perspective on RandStart and GradAlign
Axi Niu
Kang Zhang
Chaoning Zhang
Chenshuang Zhang
In So Kweon
Chang D. Yoo
Yanning Zhang
AAML
61
6
0
11 Feb 2022
Uncertainty Modeling for Out-of-Distribution Generalization
Uncertainty Modeling for Out-of-Distribution Generalization
Xiaotong Li
Yongxing Dai
Yixiao Ge
Jun Liu
Ying Shan
Ling-Yu Duan
OODD
OOD
38
175
0
08 Feb 2022
Penalizing Gradient Norm for Efficiently Improving Generalization in
  Deep Learning
Penalizing Gradient Norm for Efficiently Improving Generalization in Deep Learning
Yang Zhao
Hao Zhang
Xiuyuan Hu
38
116
0
08 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
17
87
0
07 Feb 2022
Benchmarking and Analyzing Point Cloud Classification under Corruptions
Benchmarking and Analyzing Point Cloud Classification under Corruptions
Jiawei Ren
Liang Pan
Ziwei Liu
3DPC
30
80
0
07 Feb 2022
Crafting Better Contrastive Views for Siamese Representation Learning
Crafting Better Contrastive Views for Siamese Representation Learning
Xiang Peng
Kai Wang
Zheng Hua Zhu
Mang Wang
Yang You
SSL
33
103
0
07 Feb 2022
OFA: Unifying Architectures, Tasks, and Modalities Through a Simple
  Sequence-to-Sequence Learning Framework
OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
Peng Wang
An Yang
Rui Men
Junyang Lin
Shuai Bai
Zhikang Li
Jianxin Ma
Chang Zhou
Jingren Zhou
Hongxia Yang
MLLM
ObjD
74
852
0
07 Feb 2022
Context Autoencoder for Self-Supervised Representation Learning
Context Autoencoder for Self-Supervised Representation Learning
Xiaokang Chen
Mingyu Ding
Xiaodi Wang
Ying Xin
Shentong Mo
Yunhao Wang
Shumin Han
Ping Luo
Gang Zeng
Jingdong Wang
SSL
50
387
0
07 Feb 2022
Supervision by Denoising for Medical Image Segmentation
Supervision by Denoising for Medical Image Segmentation
Sean I. Young
Adrian Dalca
Enzo Ferrante
Polina Golland
Christopher A. Metzler
Bruce Fischl
Juan Eugenio Iglesias
29
4
0
07 Feb 2022
Dataset Condensation with Contrastive Signals
Dataset Condensation with Contrastive Signals
Saehyung Lee
Sanghyuk Chun
Sangwon Jung
Sangdoo Yun
Sung-Hoon Yoon
DD
16
97
0
07 Feb 2022
Learning Features with Parameter-Free Layers
Learning Features with Parameter-Free Layers
Dongyoon Han
Y. Yoo
Beomyoung Kim
Byeongho Heo
40
8
0
06 Feb 2022
Learnability Lock: Authorized Learnability Control Through Adversarial
  Invertible Transformations
Learnability Lock: Authorized Learnability Control Through Adversarial Invertible Transformations
Weiqi Peng
Jinghui Chen
AAML
24
5
0
03 Feb 2022
NoisyMix: Boosting Model Robustness to Common Corruptions
NoisyMix: Boosting Model Robustness to Common Corruptions
N. Benjamin Erichson
Soon Hoe Lim
Winnie Xu
Francisco Utrera
Ziang Cao
Michael W. Mahoney
22
17
0
02 Feb 2022
Aggregating Global Features into Local Vision Transformer
Aggregating Global Features into Local Vision Transformer
Krushi Patel
A. Bur
Fengju Li
Guanghui Wang
ViT
38
34
0
30 Jan 2022
Backdoors Stuck At The Frontdoor: Multi-Agent Backdoor Attacks That
  Backfire
Backdoors Stuck At The Frontdoor: Multi-Agent Backdoor Attacks That Backfire
Siddhartha Datta
N. Shadbolt
AAML
52
7
0
28 Jan 2022
DynaMixer: A Vision MLP Architecture with Dynamic Mixing
DynaMixer: A Vision MLP Architecture with Dynamic Mixing
Ziyu Wang
Wenhao Jiang
Yiming Zhu
Li Yuan
Yibing Song
Wei Liu
45
44
0
28 Jan 2022
You Only Cut Once: Boosting Data Augmentation with a Single Cut
You Only Cut Once: Boosting Data Augmentation with a Single Cut
Junlin Han
Pengfei Fang
Weihong Li
Jie Hong
M. Armin
Ian Reid
L. Petersson
Hongdong Li
52
28
0
28 Jan 2022
Robust Augmentation for Multivariate Time Series Classification
Robust Augmentation for Multivariate Time Series Classification
Hong Yang
Travis J. Desell
AI4TS
37
7
0
27 Jan 2022
Boosting 3D Adversarial Attacks with Attacking On Frequency
Boosting 3D Adversarial Attacks with Attacking On Frequency
Binbin Liu
Jinlai Zhang
Lyujie Chen
Jihong Zhu
3DPC
19
36
0
26 Jan 2022
Training Vision Transformers with Only 2040 Images
Training Vision Transformers with Only 2040 Images
Yunhao Cao
Hao Yu
Jianxin Wu
ViT
120
43
0
26 Jan 2022
Patches Are All You Need?
Patches Are All You Need?
Asher Trockman
J. Zico Kolter
ViT
225
403
0
24 Jan 2022
UniFormer: Unifying Convolution and Self-attention for Visual
  Recognition
UniFormer: Unifying Convolution and Self-attention for Visual Recognition
Kunchang Li
Yali Wang
Junhao Zhang
Peng Gao
Guanglu Song
Yu Liu
Hongsheng Li
Yu Qiao
ViT
162
363
0
24 Jan 2022
Semi-Supervised Adversarial Recognition of Refined Window Structures for
  Inverse Procedural Façade Modeling
Semi-Supervised Adversarial Recognition of Refined Window Structures for Inverse Procedural Façade Modeling
Han Hu
Xinrong Liang
Yulin Ding
Qisen Shang
Bo Xu
X. Ge
Min Chen
Ruofei Zhong
Qing Zhu
36
9
0
22 Jan 2022
VIPriors 2: Visual Inductive Priors for Data-Efficient Deep Learning
  Challenges
VIPriors 2: Visual Inductive Priors for Data-Efficient Deep Learning Challenges
A. Lengyel
Robert-Jan Bruintjes
Marcos Baptista-Rios
O. Kayhan
Davide Zambrano
Nergis Tomen
Jan van Gemert
VLM
30
11
0
21 Jan 2022
Omnivore: A Single Model for Many Visual Modalities
Omnivore: A Single Model for Many Visual Modalities
Rohit Girdhar
Mannat Singh
Nikhil Ravi
Laurens van der Maaten
Armand Joulin
Ishan Misra
229
226
0
20 Jan 2022
Enhanced Performance of Pre-Trained Networks by Matched Augmentation
  Distributions
Enhanced Performance of Pre-Trained Networks by Matched Augmentation Distributions
T. Ahmad
Mohsen Jafarzadeh
A. Dhamija
Ryan Rabinowitz
Steve Cruz
Chunchun Li
Terrance E. Boult
25
0
0
19 Jan 2022
Global-Local Path Networks for Monocular Depth Estimation with Vertical
  CutDepth
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth
Doyeon Kim
Woonghyun Ka
Pyunghwan Ahn
Donggyu Joo
S. Chun
Junmo Kim
MDE
19
124
0
19 Jan 2022
Towards Adversarial Evaluations for Inexact Machine Unlearning
Towards Adversarial Evaluations for Inexact Machine Unlearning
Shashwat Goel
Ameya Prabhu
Amartya Sanyal
Ser-Nam Lim
Philip Torr
Ponnurangam Kumaraguru
AAML
ELM
MU
56
51
0
17 Jan 2022
SeamlessGAN: Self-Supervised Synthesis of Tileable Texture Maps
SeamlessGAN: Self-Supervised Synthesis of Tileable Texture Maps
Carlos Rodriguez-Pardo
Elena Garces
GAN
26
25
0
13 Jan 2022
Preventing Manifold Intrusion with Locality: Local Mixup
Preventing Manifold Intrusion with Locality: Local Mixup
Raphael Baena
Lucas Drumetz
Vincent Gripon
AAML
38
15
0
12 Jan 2022
A ConvNet for the 2020s
A ConvNet for the 2020s
Zhuang Liu
Hanzi Mao
Chaozheng Wu
Christoph Feichtenhofer
Trevor Darrell
Saining Xie
ViT
42
5,008
0
10 Jan 2022
Avoiding Overfitting: A Survey on Regularization Methods for
  Convolutional Neural Networks
Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks
C. F. G. Santos
João Paulo Papa
35
215
0
10 Jan 2022
Negative Evidence Matters in Interpretable Histology Image
  Classification
Negative Evidence Matters in Interpretable Histology Image Classification
Soufiane Belharbi
M. Pedersoli
Ismail Ben Ayed
Luke McCaffrey
Eric Granger
26
11
0
07 Jan 2022
Uncertainty-Aware Cascaded Dilation Filtering for High-Efficiency
  Deraining
Uncertainty-Aware Cascaded Dilation Filtering for High-Efficiency Deraining
Qing Guo
Jingyang Sun
Felix Juefei Xu
Lei Ma
Di Lin
Wei Feng
Song Wang
29
2
0
07 Jan 2022
GenLabel: Mixup Relabeling using Generative Models
GenLabel: Mixup Relabeling using Generative Models
Jy-yong Sohn
Liang Shang
Hongxu Chen
Jaekyun Moon
Dimitris Papailiopoulos
Kangwook Lee
VLM
16
15
0
07 Jan 2022
AutoBalance: Optimized Loss Functions for Imbalanced Data
AutoBalance: Optimized Loss Functions for Imbalanced Data
Mingchen Li
Xuechen Zhang
Christos Thrampoulidis
Jiasi Chen
Samet Oymak
24
67
0
04 Jan 2022
PyramidTNT: Improved Transformer-in-Transformer Baselines with Pyramid
  Architecture
PyramidTNT: Improved Transformer-in-Transformer Baselines with Pyramid Architecture
Kai Han
Jianyuan Guo
Yehui Tang
Yunhe Wang
ViT
34
22
0
04 Jan 2022
Vision Transformer Slimming: Multi-Dimension Searching in Continuous
  Optimization Space
Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space
Arnav Chavan
Zhiqiang Shen
Zhuang Liu
Zechun Liu
Kwang-Ting Cheng
Eric P. Xing
ViT
38
70
0
03 Jan 2022
Vision Transformer with Deformable Attention
Vision Transformer with Deformable Attention
Zhuofan Xia
Xuran Pan
S. Song
Li Erran Li
Gao Huang
ViT
33
459
0
03 Jan 2022
CaFT: Clustering and Filter on Tokens of Transformer for Weakly
  Supervised Object Localization
CaFT: Clustering and Filter on Tokens of Transformer for Weakly Supervised Object Localization
Ming Li
WSOL
ViT
28
7
0
03 Jan 2022
Improving Out-of-Distribution Robustness via Selective Augmentation
Improving Out-of-Distribution Robustness via Selective Augmentation
Huaxiu Yao
Yu Wang
Sai Li
Linjun Zhang
Weixin Liang
James Zou
Chelsea Finn
OOD
OODD
34
215
0
02 Jan 2022
Background-aware Classification Activation Map for Weakly Supervised
  Object Localization
Background-aware Classification Activation Map for Weakly Supervised Object Localization
Lei Zhu
Qi She
Qian Chen
Xiangxi Meng
Mufeng Geng
...
Bin Qiu
Yunfei You
Yibao Zhang
Qiushi Ren
Yanye Lu
WSOL
62
18
0
29 Dec 2021
Pale Transformer: A General Vision Transformer Backbone with Pale-Shaped
  Attention
Pale Transformer: A General Vision Transformer Backbone with Pale-Shaped Attention
Sitong Wu
Tianyi Wu
Hao Hao Tan
G. Guo
ViT
36
70
0
28 Dec 2021
Augmenting Convolutional networks with attention-based aggregation
Augmenting Convolutional networks with attention-based aggregation
Hugo Touvron
Matthieu Cord
Alaaeldin El-Nouby
Piotr Bojanowski
Armand Joulin
Gabriel Synnaeve
Hervé Jégou
ViT
38
47
0
27 Dec 2021
PRIME: A few primitives can boost robustness to common corruptions
PRIME: A few primitives can boost robustness to common corruptions
Apostolos Modas
Rahul Rade
Guillermo Ortiz-Jiménez
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
AAML
25
42
0
27 Dec 2021
Vision Transformer for Small-Size Datasets
Vision Transformer for Small-Size Datasets
Seung Hoon Lee
Seunghyun Lee
B. Song
ViT
22
223
0
27 Dec 2021
ELSA: Enhanced Local Self-Attention for Vision Transformer
ELSA: Enhanced Local Self-Attention for Vision Transformer
Jingkai Zhou
Pichao Wang
Fan Wang
Qiong Liu
Hao Li
Rong Jin
ViT
42
37
0
23 Dec 2021
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