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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
Empirical Study of Mix-based Data Augmentation Methods in Physiological
  Time Series Data
Empirical Study of Mix-based Data Augmentation Methods in Physiological Time Series Data
Peikun Guo
Huiyuan Yang
Akane Sano
AI4TS
17
5
0
18 Sep 2023
Selective Volume Mixup for Video Action Recognition
Selective Volume Mixup for Video Action Recognition
Yi Tan
Zhaofan Qiu
Y. Hao
Ting Yao
Xiangnan He
Tao Mei
ViT
38
2
0
18 Sep 2023
PanoMixSwap Panorama Mixing via Structural Swapping for Indoor Scene
  Understanding
PanoMixSwap Panorama Mixing via Structural Swapping for Indoor Scene Understanding
Yu-Cheng Hsieh
Cheng Sun
Suraj Dengale
Min Sun
3DPC
38
1
0
18 Sep 2023
MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene
  Classification
MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene Classification
Junjie Zhu
Yiying Li
Chunping Qiu
Ke Yang
Naiyang Guan
Xiaodong Yi
37
6
0
17 Sep 2023
Improve Deep Forest with Learnable Layerwise Augmentation Policy
  Schedule
Improve Deep Forest with Learnable Layerwise Augmentation Policy Schedule
Hongyu Zhu
Sichu Liang
Wentao Hu
Fangqi Li
Yali Yuan
Shi-Lin Wang
Guang Cheng
26
2
0
16 Sep 2023
Semi-supervised Sound Event Detection with Local and Global Consistency
  Regularization
Semi-supervised Sound Event Detection with Local and Global Consistency Regularization
Yiming Li
Xiangdong Wang
Hong Liu
Rui Tao
Long Yan
Kazushige Ouchi
35
3
0
15 Sep 2023
Leveraging the Power of Data Augmentation for Transformer-based Tracking
Leveraging the Power of Data Augmentation for Transformer-based Tracking
Jie Zhao
Johan Edstedt
Michael Felsberg
D. Wang
Huchuan Lu
ViT
40
4
0
15 Sep 2023
Syn-Att: Synthetic Speech Attribution via Semi-Supervised Unknown
  Multi-Class Ensemble of CNNs
Syn-Att: Synthetic Speech Attribution via Semi-Supervised Unknown Multi-Class Ensemble of CNNs
Md Awsafur Rahman
Bishmoy Paul
Najibul Haque Sarker
Zaber Ibn Abdul Hakim
S. Fattah
Mohammad Saquib
16
3
0
15 Sep 2023
ALWOD: Active Learning for Weakly-Supervised Object Detection
ALWOD: Active Learning for Weakly-Supervised Object Detection
Yuting Wang
Velibor Ilic
Jiatong Li
B. Kisačanin
Vladimir Pavlovic
30
8
0
14 Sep 2023
Disentangling Spatial and Temporal Learning for Efficient Image-to-Video
  Transfer Learning
Disentangling Spatial and Temporal Learning for Efficient Image-to-Video Transfer Learning
Zhiwu Qing
Shiwei Zhang
Ziyuan Huang
Yingya Zhang
Changxin Gao
Deli Zhao
Nong Sang
37
18
0
14 Sep 2023
Efficiently Robustify Pre-trained Models
Efficiently Robustify Pre-trained Models
Nishant Jain
Iit Roorkee
Harkirat Singh Behl
Vibhav Vineet
OOD
VLM
31
3
0
14 Sep 2023
Data Augmentation via Subgroup Mixup for Improving Fairness
Data Augmentation via Subgroup Mixup for Improving Fairness
Madeline Navarro
Camille Olivia Little
Genevera I. Allen
Santiago Segarra
34
6
0
13 Sep 2023
Domain-Aware Augmentations for Unsupervised Online General Continual
  Learning
Domain-Aware Augmentations for Unsupervised Online General Continual Learning
Nicolas Michel
Romain Negrel
Giovanni Chierchia
J. Bercher
CLL
27
2
0
13 Sep 2023
360$^\circ$ from a Single Camera: A Few-Shot Approach for LiDAR
  Segmentation
360∘^\circ∘ from a Single Camera: A Few-Shot Approach for LiDAR Segmentation
Laurenz Reichardt
Nikolas Ebert
Oliver Wasenmüller
3DPC
56
10
0
12 Sep 2023
Introspective Deep Metric Learning
Introspective Deep Metric Learning
Cheng-Hao Wang
Wenzhao Zheng
Zheng Hua Zhu
Jie Zhou
Jiwen Lu
UQCV
40
12
0
11 Sep 2023
Hazards in Deep Learning Testing: Prevalence, Impact and Recommendations
Hazards in Deep Learning Testing: Prevalence, Impact and Recommendations
Salah Ghamizi
Maxime Cordy
Yuejun Guo
Mike Papadakis
And Yves Le Traon
31
1
0
11 Sep 2023
Toward a Deeper Understanding: RetNet Viewed through Convolution
Toward a Deeper Understanding: RetNet Viewed through Convolution
Chenghao Li
Chaoning Zhang
ViT
43
7
0
11 Sep 2023
When to Learn What: Model-Adaptive Data Augmentation Curriculum
When to Learn What: Model-Adaptive Data Augmentation Curriculum
Chengkai Hou
Jieyu Zhang
Dinesh Manocha
37
15
0
09 Sep 2023
Unsupervised Object Localization with Representer Point Selection
Unsupervised Object Localization with Representer Point Selection
Yeonghwan Song
Seokwoo Jang
Dina Katabi
Jeany Son
3DPC
34
3
0
08 Sep 2023
Representation Synthesis by Probabilistic Many-Valued Logic Operation in
  Self-Supervised Learning
Representation Synthesis by Probabilistic Many-Valued Logic Operation in Self-Supervised Learning
Hiroki Nakamura
Masashi Okada
T. Taniguchi
SSL
NAI
36
0
0
08 Sep 2023
Understanding Data Augmentation from a Robustness Perspective
Understanding Data Augmentation from a Robustness Perspective
Zhendong Liu
Jie Zhang
Qiangqiang He
Chongjun Wang
AAML
34
1
0
07 Sep 2023
Enhancing Sample Utilization through Sample Adaptive Augmentation in
  Semi-Supervised Learning
Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning
Guan Gui
Zhen Zhao
Lei Qi
Luping Zhou
Lei Wang
Yinghuan Shi
AAML
38
7
0
07 Sep 2023
DropPos: Pre-Training Vision Transformers by Reconstructing Dropped
  Positions
DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions
Haochen Wang
Junsong Fan
Yuxi Wang
Kaiyou Song
Tong Wang
Zhaoxiang Zhang
29
19
0
07 Sep 2023
BroadCAM: Outcome-agnostic Class Activation Mapping for Small-scale
  Weakly Supervised Applications
BroadCAM: Outcome-agnostic Class Activation Mapping for Small-scale Weakly Supervised Applications
Jiatai Lin
Guoqiang Han
Xuemiao Xu
C. Liang
T. Wong
C. L. P. Chen
Zaiyi Liu
Chu Han
VLM
39
1
0
07 Sep 2023
Towards Robust Natural-Looking Mammography Lesion Synthesis on
  Ipsilateral Dual-Views Breast Cancer Analysis
Towards Robust Natural-Looking Mammography Lesion Synthesis on Ipsilateral Dual-Views Breast Cancer Analysis
Thanh-Huy Nguyen
Q. Kha
Thai Ngoc Toan Truong
Ba Thinh Lam
Ba-Hung Ngo
Quang Vinh Dinh
N. Le
16
13
0
07 Sep 2023
Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch
  Size
Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch Size
John Chen
Chen Dun
Anastasios Kyrillidis
23
2
0
07 Sep 2023
ViewMix: Augmentation for Robust Representation in Self-Supervised
  Learning
ViewMix: Augmentation for Robust Representation in Self-Supervised Learning
A. Das
Xin Zhong
SSL
35
0
0
06 Sep 2023
Dual Adversarial Alignment for Realistic Support-Query Shift Few-shot
  Learning
Dual Adversarial Alignment for Realistic Support-Query Shift Few-shot Learning
Siyang Jiang
Rui Fang
Hsi-Wen Chen
Wei Ding
Ming-Syan Chen
21
1
0
05 Sep 2023
Interdisciplinary Fairness in Imbalanced Research Proposal Topic
  Inference: A Hierarchical Transformer-based Method with Selective
  Interpolation
Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation
Meng Xiao
Min-Ying Wu
Ziyue Qiao
Yanjie Fu
Zhiyuan Ning
Yi Du
Yuanchun Zhou
43
8
0
04 Sep 2023
Large Separable Kernel Attention: Rethinking the Large Kernel Attention
  Design in CNN
Large Separable Kernel Attention: Rethinking the Large Kernel Attention Design in CNN
Kin Wai Lau
L. Po
Yasar Abbas Ur Rehman
VLM
32
204
0
04 Sep 2023
DAT++: Spatially Dynamic Vision Transformer with Deformable Attention
DAT++: Spatially Dynamic Vision Transformer with Deformable Attention
Zhuofan Xia
Xuran Pan
Shiji Song
Li Erran Li
Gao Huang
ViT
42
25
0
04 Sep 2023
Boosting Weakly-Supervised Image Segmentation via Representation,
  Transform, and Compensator
Boosting Weakly-Supervised Image Segmentation via Representation, Transform, and Compensator
Chunyan Wang
Dong Zhang
Rui Yan
16
1
0
02 Sep 2023
Fine-grained Recognition with Learnable Semantic Data Augmentation
Fine-grained Recognition with Learnable Semantic Data Augmentation
Yifan Pu
Yizeng Han
Yulin Wang
Junlan Feng
Chao Deng
Gao Huang
40
27
0
01 Sep 2023
IIDM: Inter and Intra-domain Mixing for Semi-supervised Domain
  Adaptation in Semantic Segmentation
IIDM: Inter and Intra-domain Mixing for Semi-supervised Domain Adaptation in Semantic Segmentation
Weifu Fu
Qiang Nie
Jialin Li
Yu-Hsiang Lin
Kai Wu
Jian Li
Yabiao Wang
Yang Liu
Chengjie Wang
19
1
0
30 Aug 2023
Detect, Augment, Compose, and Adapt: Four Steps for Unsupervised Domain
  Adaptation in Object Detection
Detect, Augment, Compose, and Adapt: Four Steps for Unsupervised Domain Adaptation in Object Detection
M. L. Mekhalfi
Davide Boscaini
Fabio Poiesi
38
6
0
29 Aug 2023
Classification robustness to common optical aberrations
Classification robustness to common optical aberrations
Patrick Müller
Alexander Braun
Margret Keuper
33
10
0
29 Aug 2023
Mixup-Augmented Meta-Learning for Sample-Efficient Fine-Tuning of
  Protein Simulators
Mixup-Augmented Meta-Learning for Sample-Efficient Fine-Tuning of Protein Simulators
Jingbang Chen
Yian Wang
Xingwei Qu
Shuangjia Zheng
Yao-Chun Yang
Hao Dong
Jie Fu
35
0
0
29 Aug 2023
A Comprehensive Augmentation Framework for Anomaly Detection
A Comprehensive Augmentation Framework for Anomaly Detection
Jianghang Lin
Yaping Yan
16
8
0
29 Aug 2023
RobustCLEVR: A Benchmark and Framework for Evaluating Robustness in
  Object-centric Learning
RobustCLEVR: A Benchmark and Framework for Evaluating Robustness in Object-centric Learning
Nathan G. Drenkow
Mathias Unberath
41
5
0
28 Aug 2023
When hard negative sampling meets supervised contrastive learning
When hard negative sampling meets supervised contrastive learning
Zijun Long
George Killick
R. McCreadie
Gerardo Aragon Camarasa
Zaiqiao Meng
SSL
28
3
0
28 Aug 2023
Compositional Semantic Mix for Domain Adaptation in Point Cloud
  Segmentation
Compositional Semantic Mix for Domain Adaptation in Point Cloud Segmentation
Cristiano Saltori
Fabio Galasso
G. Fiameni
N. Sebe
Fabio Poiesi
Elisa Ricci
3DPC
44
19
0
28 Aug 2023
LatentDR: Improving Model Generalization Through Sample-Aware Latent
  Degradation and Restoration
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration
Ran Liu
Sahil Khose
Jingyun Xiao
Lakshmi Sathidevi
Keerthan Ramnath
Z. Kira
Eva L. Dyer
43
3
0
28 Aug 2023
Semi-Supervised Learning for Visual Bird's Eye View Semantic
  Segmentation
Semi-Supervised Learning for Visual Bird's Eye View Semantic Segmentation
Junyu Zhu
Lina Liu
Yu Tang
Feng Wen
Wanlong Li
Yong Liu
42
4
0
28 Aug 2023
Semi-Supervised Semantic Depth Estimation using Symbiotic Transformer
  and NearFarMix Augmentation
Semi-Supervised Semantic Depth Estimation using Symbiotic Transformer and NearFarMix Augmentation
Md Awsafur Rahman
S. Fattah
ViT
MDE
30
1
0
28 Aug 2023
Self-Supervision for Tackling Unsupervised Anomaly Detection: Pitfalls
  and Opportunities
Self-Supervision for Tackling Unsupervised Anomaly Detection: Pitfalls and Opportunities
Leman Akoglu
Jaemin Yoo
46
1
0
28 Aug 2023
Online Continual Learning on Hierarchical Label Expansion
Online Continual Learning on Hierarchical Label Expansion
Byung Hyun Lee
Ok-Cheol Jung
Jonghyun Choi
S. Chun
CLL
41
8
0
28 Aug 2023
Semi-Supervised Semantic Segmentation via Marginal Contextual
  Information
Semi-Supervised Semantic Segmentation via Marginal Contextual Information
Moshe Kimhi
Shai Kimhi
Evgenii Zheltonozhskii
Or Litany
Chaim Baskin
32
10
0
26 Aug 2023
Linear Oscillation: A Novel Activation Function for Vision Transformer
Juyoung Yun
LLMSV
21
0
0
25 Aug 2023
CS-Mixer: A Cross-Scale Vision MLP Model with Spatial-Channel Mixing
CS-Mixer: A Cross-Scale Vision MLP Model with Spatial-Channel Mixing
Jianwei Cui
David A. Araujo
Suman Saha
Md Faisal Kabir
BDL
40
0
0
25 Aug 2023
A Re-Parameterized Vision Transformer (ReVT) for Domain-Generalized
  Semantic Segmentation
A Re-Parameterized Vision Transformer (ReVT) for Domain-Generalized Semantic Segmentation
Jan-Aike Termöhlen
Tim Bartels
Tim Fingscheidt
ViT
34
6
0
25 Aug 2023
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