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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
Open Domain Generalization with Domain-Augmented Meta-Learning
Open Domain Generalization with Domain-Augmented Meta-Learning
Yang Shu
Zhangjie Cao
Chenyu Wang
Jianmin Wang
Mingsheng Long
OOD
27
163
0
08 Apr 2021
An Empirical Study of the Effects of Sample-Mixing Methods for Efficient
  Training of Generative Adversarial Networks
An Empirical Study of the Effects of Sample-Mixing Methods for Efficient Training of Generative Adversarial Networks
M. Takamoto
Yusuke Morishita
AAML
19
1
0
08 Apr 2021
Artificial and beneficial -- Exploiting artificial images for aerial
  vehicle detection
Artificial and beneficial -- Exploiting artificial images for aerial vehicle detection
I. Weber
J. Bongartz
R. Roscher
13
11
0
07 Apr 2021
Domain Generalization with MixStyle
Domain Generalization with MixStyle
Kaiyang Zhou
Yongxin Yang
Yu Qiao
Tao Xiang
71
744
0
05 Apr 2021
On-the-Fly Aligned Data Augmentation for Sequence-to-Sequence ASR
On-the-Fly Aligned Data Augmentation for Sequence-to-Sequence ASR
Tsz Kin Lam
Mayumi Ohta
Shigehiko Schamoni
Stefan Riezler
25
27
0
03 Apr 2021
Diverse Gaussian Noise Consistency Regularization for Robustness and
  Uncertainty Calibration
Diverse Gaussian Noise Consistency Regularization for Robustness and Uncertainty Calibration
Theodoros Tsiligkaridis
Athanasios Tsiligkaridis
25
3
0
02 Apr 2021
Defending Against Image Corruptions Through Adversarial Augmentations
Defending Against Image Corruptions Through Adversarial Augmentations
D. A. Calian
Florian Stimberg
Olivia Wiles
Sylvestre-Alvise Rebuffi
András Gyorgy
Timothy A. Mann
Sven Gowal
AAML
17
41
0
02 Apr 2021
Multiple Heads are Better than One: Few-shot Font Generation with
  Multiple Localized Experts
Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts
Song Park
Sanghyuk Chun
Junbum Cha
Bado Lee
Hyunjung Shim
46
63
0
02 Apr 2021
Is Label Smoothing Truly Incompatible with Knowledge Distillation: An
  Empirical Study
Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study
Zhiqiang Shen
Zechun Liu
Dejia Xu
Zitian Chen
Kwang-Ting Cheng
Marios Savvides
13
75
0
01 Apr 2021
Improving Calibration for Long-Tailed Recognition
Improving Calibration for Long-Tailed Recognition
Zhisheng Zhong
Jiequan Cui
Shu Liu
Jiaya Jia
27
288
0
01 Apr 2021
The Compact Support Neural Network
The Compact Support Neural Network
Adrian Barbu
Hongyu Mou
13
5
0
01 Apr 2021
Rainbow Memory: Continual Learning with a Memory of Diverse Samples
Rainbow Memory: Continual Learning with a Memory of Diverse Samples
Jihwan Bang
Heesu Kim
Y. Yoo
Jung-Woo Ha
Jonghyun Choi
CLL
36
324
0
31 Mar 2021
The GIST and RIST of Iterative Self-Training for Semi-Supervised
  Segmentation
The GIST and RIST of Iterative Self-Training for Semi-Supervised Segmentation
Eu Wern Teh
Terrance Devries
Brendan Duke
R. Jiang
P. Aarabi
Graham W. Taylor
VLM
39
8
0
31 Mar 2021
Deep Image Harmonization by Bridging the Reality Gap
Deep Image Harmonization by Bridging the Reality Gap
Junyan Cao
Wenyan Cong
Li Niu
Jianfu Zhang
Liqing Zhang
35
16
0
31 Mar 2021
Attention Map-guided Two-stage Anomaly Detection using Hard Augmentation
Attention Map-guided Two-stage Anomaly Detection using Hard Augmentation
J. Song
Kyeongbo Kong
Ye In Park
Suk-Ju Kang
19
3
0
31 Mar 2021
Learning Representational Invariances for Data-Efficient Action
  Recognition
Learning Representational Invariances for Data-Efficient Action Recognition
Yuliang Zou
Jinwoo Choi
Qitong Wang
Jia-Bin Huang
22
39
0
30 Mar 2021
Rethinking Spatial Dimensions of Vision Transformers
Rethinking Spatial Dimensions of Vision Transformers
Byeongho Heo
Sangdoo Yun
Dongyoon Han
Sanghyuk Chun
Junsuk Choe
Seong Joon Oh
ViT
380
565
0
30 Mar 2021
Unsupervised Hyperbolic Representation Learning via Message Passing
  Auto-Encoders
Unsupervised Hyperbolic Representation Learning via Message Passing Auto-Encoders
Jiwoong Park
Junho Cho
H. Chang
J. Choi
SSL
27
23
0
30 Mar 2021
Selective Output Smoothing Regularization: Regularize Neural Networks by
  Softening Output Distributions
Selective Output Smoothing Regularization: Regularize Neural Networks by Softening Output Distributions
Xuan Cheng
Tianshu Xie
Xiaomin Wang
Qifeng Weng
Minghui Liu
Jiali Deng
Meilin Liu
37
0
0
29 Mar 2021
AlignMixup: Improving Representations By Interpolating Aligned Features
AlignMixup: Improving Representations By Interpolating Aligned Features
Shashanka Venkataramanan
Ewa Kijak
Laurent Amsaleg
Yannis Avrithis
WSOL
35
61
0
29 Mar 2021
CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image
  Classification
CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification
Chun-Fu Chen
Quanfu Fan
Yikang Shen
ViT
28
1,427
0
27 Mar 2021
TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised
  Object Localization
TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization
Wei Gao
Fang Wan
Xingjia Pan
Zhiliang Peng
Qi Tian
Zhenjun Han
Bolei Zhou
QiXiang Ye
ViT
WSOL
32
198
0
27 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-Wei Zhang
Stephen Lin
B. Guo
ViT
151
20,774
0
25 Mar 2021
SMILE: Self-Distilled MIxup for Efficient Transfer LEarning
SMILE: Self-Distilled MIxup for Efficient Transfer LEarning
Xingjian Li
Haoyi Xiong
Chengzhong Xu
Dejing Dou
11
6
0
25 Mar 2021
Explainability Guided Multi-Site COVID-19 CT Classification
Explainability Guided Multi-Site COVID-19 CT Classification
Ameen Ali
Tal Shaharabany
Lior Wolf
27
4
0
25 Mar 2021
Generating Novel Scene Compositions from Single Images and Videos
Generating Novel Scene Compositions from Single Images and Videos
V. Sushko
Dan Zhang
Juergen Gall
Anna Khoreva
GAN
32
15
0
24 Mar 2021
FakeMix Augmentation Improves Transparent Object Detection
FakeMix Augmentation Improves Transparent Object Detection
Yang Cao
Zhengqiang Zhang
Enze Xie
Qibin Hou
Kai Zhao
Xiangui Luo
Jian Tuo
AAML
6
11
0
24 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
34
73
0
24 Mar 2021
Characterizing and Improving the Robustness of Self-Supervised Learning
  through Background Augmentations
Characterizing and Improving the Robustness of Self-Supervised Learning through Background Augmentations
Chaitanya K. Ryali
D. Schwab
Ari S. Morcos
SSL
37
9
0
23 Mar 2021
Adversarial Feature Augmentation and Normalization for Visual
  Recognition
Adversarial Feature Augmentation and Normalization for Visual Recognition
Tianlong Chen
Yu Cheng
Zhe Gan
Jianfeng Wang
Lijuan Wang
Zhangyang Wang
Jingjing Liu
AAML
ViT
26
19
0
22 Mar 2021
DeepViT: Towards Deeper Vision Transformer
DeepViT: Towards Deeper Vision Transformer
Daquan Zhou
Bingyi Kang
Xiaojie Jin
Linjie Yang
Xiaochen Lian
Zihang Jiang
Qibin Hou
Jiashi Feng
ViT
42
510
0
22 Mar 2021
Re-energizing Domain Discriminator with Sample Relabeling for
  Adversarial Domain Adaptation
Re-energizing Domain Discriminator with Sample Relabeling for Adversarial Domain Adaptation
Xin Jin
Cuiling Lan
Wenjun Zeng
Zhibo Chen
43
19
0
22 Mar 2021
PriorityCut: Occlusion-guided Regularization for Warp-based Image
  Animation
PriorityCut: Occlusion-guided Regularization for Warp-based Image Animation
Wai Ting Cheung
Gyeongsu Chae
VGen
19
1
0
22 Mar 2021
Geo-Spatiotemporal Features and Shape-Based Prior Knowledge for
  Fine-grained Imbalanced Data Classification
Geo-Spatiotemporal Features and Shape-Based Prior Knowledge for Fine-grained Imbalanced Data Classification
Charles A. Kantor
Marta Skreta
Brice Rauby
Léonard Boussioux
Emmanuel
A. Luccioni
David Rolnick
Hugues Talbot
16
0
0
21 Mar 2021
Local Patch AutoAugment with Multi-Agent Collaboration
Local Patch AutoAugment with Multi-Agent Collaboration
Shiqi Lin
Tao Yu
Ruoyu Feng
Xin Li
Xin Jin
Zhibo Chen
18
15
0
20 Mar 2021
Space-Time Crop & Attend: Improving Cross-modal Video Representation
  Learning
Space-Time Crop & Attend: Improving Cross-modal Video Representation Learning
Mandela Patrick
Yuki M. Asano
Bernie Huang
Ishan Misra
Florian Metze
Joao Henriques
Andrea Vedaldi
AI4TS
29
33
0
18 Mar 2021
Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge
  Distillation
Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge Distillation
Mingi Ji
Seungjae Shin
Seunghyun Hwang
Gibeom Park
Il-Chul Moon
13
120
0
15 Mar 2021
Revisiting ResNets: Improved Training and Scaling Strategies
Revisiting ResNets: Improved Training and Scaling Strategies
Irwan Bello
W. Fedus
Xianzhi Du
E. D. Cubuk
A. Srinivas
Nayeon Lee
Jonathon Shlens
Barret Zoph
29
298
0
13 Mar 2021
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement
  Learning
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning
Samarth Sinha
Ajay Mandlekar
Animesh Garg
OffRL
26
105
0
10 Mar 2021
MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks
MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks
Alexandre Ramé
Rémy Sun
Matthieu Cord
UQCV
37
60
0
10 Mar 2021
Evaluating COPY-BLEND Augmentation for Low Level Vision Tasks
Evaluating COPY-BLEND Augmentation for Low Level Vision Tasks
P. Shyam
S. S. Sengar
Kuk-Jin Yoon
Kyung-soo Kim
DiffM
23
13
0
10 Mar 2021
AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable
  Probabilistic Implicit Differentiation
AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation
Denis A. Gudovskiy
Luca Rigazio
Shun Ishizaka
Kazuki Kozuka
Sotaro Tsukizawa
NoLa
38
21
0
10 Mar 2021
Cut-Thumbnail: A Novel Data Augmentation for Convolutional Neural
  Network
Cut-Thumbnail: A Novel Data Augmentation for Convolutional Neural Network
Tianshu Xie
Xuan Cheng
Minghui Liu
Jiali Deng
Xiaomin Wang
Ming Liu
17
29
0
09 Mar 2021
Data augmentation by morphological mixup for solving Raven's Progressive
  Matrices
Data augmentation by morphological mixup for solving Raven's Progressive Matrices
Wentao He
Jianfeng Ren
Ruibin Bai
27
2
0
09 Mar 2021
Unveiling the Potential of Structure Preserving for Weakly Supervised
  Object Localization
Unveiling the Potential of Structure Preserving for Weakly Supervised Object Localization
Xingjia Pan
Yingguo Gao
Zhiwen Lin
Fan Tang
Weiming Dong
Haolei Yuan
Feiyue Huang
Changsheng Xu
WSOL
49
86
0
08 Mar 2021
VIPriors 1: Visual Inductive Priors for Data-Efficient Deep Learning
  Challenges
VIPriors 1: Visual Inductive Priors for Data-Efficient Deep Learning Challenges
Robert-Jan Bruintjes
A. Lengyel
Marcos Baptista-Rios
O. Kayhan
Jan van Gemert
VLM
25
11
0
05 Mar 2021
On the effectiveness of adversarial training against common corruptions
On the effectiveness of adversarial training against common corruptions
Klim Kireev
Maksym Andriushchenko
Nicolas Flammarion
AAML
19
101
0
03 Mar 2021
DP-InstaHide: Provably Defusing Poisoning and Backdoor Attacks with
  Differentially Private Data Augmentations
DP-InstaHide: Provably Defusing Poisoning and Backdoor Attacks with Differentially Private Data Augmentations
Eitan Borgnia
Jonas Geiping
Valeriia Cherepanova
Liam H. Fowl
Arjun Gupta
Amin Ghiasi
Furong Huang
Micah Goldblum
Tom Goldstein
37
46
0
02 Mar 2021
Fixing Data Augmentation to Improve Adversarial Robustness
Fixing Data Augmentation to Improve Adversarial Robustness
Sylvestre-Alvise Rebuffi
Sven Gowal
D. A. Calian
Florian Stimberg
Olivia Wiles
Timothy A. Mann
AAML
36
270
0
02 Mar 2021
Context Decoupling Augmentation for Weakly Supervised Semantic
  Segmentation
Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation
Yukun Su
Rui Sun
Guosheng Lin
Qingyao Wu
24
117
0
02 Mar 2021
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