ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1905.04899
  4. Cited By
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
DACS: Domain Adaptation via Cross-domain Mixed Sampling
DACS: Domain Adaptation via Cross-domain Mixed Sampling
Wilhelm Tranheden
Viktor Olsson
Juliano Pinto
Lennart Svensson
21
351
0
17 Jul 2020
FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning
FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning
Chia-Wen Kuo
Chih-Yao Ma
Jia-Bin Huang
Z. Kira
37
118
0
16 Jul 2020
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised
  Learning
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning
Viktor Olsson
Wilhelm Tranheden
Juliano Pinto
Lennart Svensson
24
330
0
15 Jul 2020
Diverse Ensembles Improve Calibration
Diverse Ensembles Improve Calibration
Asa Cooper Stickland
Iain Murray
UQCV
FedML
27
26
0
08 Jul 2020
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics,
  and Datasets
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets
Junsuk Choe
Seong Joon Oh
Sanghyuk Chun
Seungho Lee
Zeynep Akata
Hyunjung Shim
WSOL
352
23
0
08 Jul 2020
Remix: Rebalanced Mixup
Remix: Rebalanced Mixup
Hsin-Ping Chou
Shih-Chieh Chang
Jia-Yu Pan
Wei Wei
Da-Cheng Juan
36
231
0
08 Jul 2020
Density Fixing: Simple yet Effective Regularization Method based on the
  Class Prior
Density Fixing: Simple yet Effective Regularization Method based on the Class Prior
Masanari Kimura
Ryohei Izawa
8
1
0
08 Jul 2020
On Data Augmentation and Adversarial Risk: An Empirical Analysis
On Data Augmentation and Adversarial Risk: An Empirical Analysis
Hamid Eghbalzadeh
Khaled Koutini
Paul Primus
Verena Haunschmid
Michal Lewandowski
Werner Zellinger
Bernhard A. Moser
Gerhard Widmer
AAML
12
9
0
06 Jul 2020
Measuring Robustness to Natural Distribution Shifts in Image
  Classification
Measuring Robustness to Natural Distribution Shifts in Image Classification
Rohan Taori
Achal Dave
Vaishaal Shankar
Nicholas Carlini
Benjamin Recht
Ludwig Schmidt
OOD
24
533
0
01 Jul 2020
Subject-Aware Contrastive Learning for Biosignals
Subject-Aware Contrastive Learning for Biosignals
Joseph Y. Cheng
Hanlin Goh
Kaan Dogrusoz
Oncel Tuzel
Erdrin Azemi
SSL
11
108
0
30 Jun 2020
Extracurricular Learning: Knowledge Transfer Beyond Empirical
  Distribution
Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution
Hadi Pouransari
Mojan Javaheripi
Vinay Sharma
Oncel Tuzel
14
5
0
30 Jun 2020
BitMix: Data Augmentation for Image Steganalysis
BitMix: Data Augmentation for Image Steganalysis
In-Jae Yu
Wonhyuk Ahn
Seung-Hun Nam
Heung-Kyu Lee
9
13
0
30 Jun 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution
  Generalization
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization
Dan Hendrycks
Steven Basart
Norman Mu
Saurav Kadavath
Frank Wang
...
Samyak Parajuli
Mike Guo
D. Song
Jacob Steinhardt
Justin Gilmer
OOD
113
1,672
0
29 Jun 2020
Compositional Convolutional Neural Networks: A Robust and Interpretable
  Model for Object Recognition under Occlusion
Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition under Occlusion
Adam Kortylewski
Qing Liu
Angtian Wang
Yihong Sun
Alan Yuille
16
77
0
28 Jun 2020
Counting Out Time: Class Agnostic Video Repetition Counting in the Wild
Counting Out Time: Class Agnostic Video Repetition Counting in the Wild
Debidatta Dwibedi
Y. Aytar
Jonathan Tompson
P. Sermanet
Andrew Zisserman
AI4TS
23
109
0
27 Jun 2020
Class-Similarity Based Label Smoothing for Confidence Calibration
Class-Similarity Based Label Smoothing for Confidence Calibration
Chihuang Liu
J. JáJá
UQCV
22
1
0
24 Jun 2020
Multi-Class Uncertainty Calibration via Mutual Information
  Maximization-based Binning
Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning
Kanil Patel
William H. Beluch
Binh Yang
Michael Pfeiffer
Dan Zhang
UQCV
19
34
0
23 Jun 2020
Calibration of Neural Networks using Splines
Calibration of Neural Networks using Splines
Kartik Gupta
Amir M. Rahimi
Thalaiyasingam Ajanthan
Thomas Mensink
C. Sminchisescu
Richard I. Hartley
26
106
0
23 Jun 2020
Self-Knowledge Distillation with Progressive Refinement of Targets
Self-Knowledge Distillation with Progressive Refinement of Targets
Kyungyul Kim
Byeongmoon Ji
Doyoung Yoon
Sangheum Hwang
ODL
22
175
0
22 Jun 2020
Sequential Feature Filtering Classifier
Sequential Feature Filtering Classifier
Min-seok Seo
Jaemin Lee
Jongchan Park
Dong-Geol Choi
21
3
0
21 Jun 2020
Pyramidal Convolution: Rethinking Convolutional Neural Networks for
  Visual Recognition
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition
Ionut Cosmin Duta
Li Liu
Fan Zhu
Ling Shao
33
195
0
20 Jun 2020
AdamP: Slowing Down the Slowdown for Momentum Optimizers on
  Scale-invariant Weights
AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights
Byeongho Heo
Sanghyuk Chun
Seong Joon Oh
Dongyoon Han
Sangdoo Yun
Gyuwan Kim
Youngjung Uh
Jung-Woo Ha
ODL
287
27
0
15 Jun 2020
GradAug: A New Regularization Method for Deep Neural Networks
GradAug: A New Regularization Method for Deep Neural Networks
Taojiannan Yang
Sijie Zhu
Chong Chen
OOD
18
36
0
14 Jun 2020
FenceMask: A Data Augmentation Approach for Pre-extracted Image Features
FenceMask: A Data Augmentation Approach for Pre-extracted Image Features
Pu Li
Xiangyang Li
Xiang Long
6
20
0
14 Jun 2020
PatchUp: A Feature-Space Block-Level Regularization Technique for
  Convolutional Neural Networks
PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks
Mojtaba Faramarzi
Mohammad Amini
Akilesh Badrinaaraayanan
Vikas Verma
A. Chandar
AAML
34
31
0
14 Jun 2020
Few-shot Neural Architecture Search
Few-shot Neural Architecture Search
Yiyang Zhao
Linnan Wang
Yuandong Tian
Rodrigo Fonseca
Tian Guo
23
90
0
11 Jun 2020
Hypernetwork-Based Augmentation
Hypernetwork-Based Augmentation
Chih-Yang Chen
Che-Han Chang
17
3
0
11 Jun 2020
Rethinking Localization Map: Towards Accurate Object Perception with
  Self-Enhancement Maps
Rethinking Localization Map: Towards Accurate Object Perception with Self-Enhancement Maps
Xiaolin Zhang
Yunchao Wei
Yi Yang
Fei Wu
WSOL
16
29
0
09 Jun 2020
Entropic Out-of-Distribution Detection: Seamless Detection of Unknown
  Examples
Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples
David Macêdo
T. I. Ren
Cleber Zanchettin
Adriano Oliveira
Teresa B Ludermir
OODD
12
22
0
07 Jun 2020
An Empirical Analysis of the Impact of Data Augmentation on Knowledge
  Distillation
An Empirical Analysis of the Impact of Data Augmentation on Knowledge Distillation
Deepan Das
Haley Massa
Abhimanyu Kulkarni
Theodoros Rekatsinas
21
18
0
06 Jun 2020
Image Augmentations for GAN Training
Image Augmentations for GAN Training
Zhengli Zhao
Zizhao Zhang
Ting-Li Chen
Sameer Singh
Han Zhang
19
136
0
04 Jun 2020
Interpolation-based semi-supervised learning for object detection
Interpolation-based semi-supervised learning for object detection
Jisoo Jeong
Vikas Verma
Minsung Hyun
Arno Solin
Nojun Kwak
42
73
0
03 Jun 2020
SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better
  Regularization
SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization
A. Uddin
Sirazam Monira
Wheemyung Shin
TaeChoong Chung
Sung-Ho Bae
20
224
0
02 Jun 2020
Robust Object Detection under Occlusion with Context-Aware
  CompositionalNets
Robust Object Detection under Occlusion with Context-Aware CompositionalNets
Angtian Wang
Yihong Sun
Adam Kortylewski
Alan Yuille
ObjD
20
115
0
24 May 2020
A CNN-LSTM Architecture for Detection of Intracranial Hemorrhage on CT
  scans
A CNN-LSTM Architecture for Detection of Intracranial Hemorrhage on CT scans
N. T. Nguyen
Dat Q. Tran
N. T. Nguyen
H. Nguyen
10
42
0
22 May 2020
Deep-Learning-based Automated Palm Tree Counting and Geolocation in
  Large Farms from Aerial Geotagged Images
Deep-Learning-based Automated Palm Tree Counting and Geolocation in Large Farms from Aerial Geotagged Images
Adel Ammar
Anis Koubaa
14
58
0
11 May 2020
A Simple Semi-Supervised Learning Framework for Object Detection
A Simple Semi-Supervised Learning Framework for Object Detection
Kihyuk Sohn
Zizhao Zhang
Chun-Liang Li
Han Zhang
Chen-Yu Lee
Tomas Pfister
38
493
0
10 May 2020
Data Augmentation via Mixed Class Interpolation using Cycle-Consistent
  Generative Adversarial Networks Applied to Cross-Domain Imagery
Data Augmentation via Mixed Class Interpolation using Cycle-Consistent Generative Adversarial Networks Applied to Cross-Domain Imagery
Hiroshi Sasaki
Chris G. Willcocks
T. Breckon
15
1
0
05 May 2020
MixText: Linguistically-Informed Interpolation of Hidden Space for
  Semi-Supervised Text Classification
MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification
Jiaao Chen
Zichao Yang
Diyi Yang
VLM
39
355
0
25 Apr 2020
Cheaper Pre-training Lunch: An Efficient Paradigm for Object Detection
Cheaper Pre-training Lunch: An Efficient Paradigm for Object Detection
Dongzhan Zhou
Xinchi Zhou
Hongwen Zhang
Shuai Yi
Wanli Ouyang
VLM
24
16
0
25 Apr 2020
Convolution-Weight-Distribution Assumption: Rethinking the Criteria of
  Channel Pruning
Convolution-Weight-Distribution Assumption: Rethinking the Criteria of Channel Pruning
Zhongzhan Huang
Wenqi Shao
Xinjiang Wang
Liang Lin
Ping Luo
16
52
0
24 Apr 2020
SIPA: A Simple Framework for Efficient Networks
SIPA: A Simple Framework for Efficient Networks
Gihun Lee
Sangmin Bae
Jaehoon Oh
Seyoung Yun
6
1
0
24 Apr 2020
Supervised Contrastive Learning
Supervised Contrastive Learning
Prannay Khosla
Piotr Teterwak
Chen Wang
Aaron Sarna
Yonglong Tian
Phillip Isola
Aaron Maschinot
Ce Liu
Dilip Krishnan
SSL
42
4,417
0
23 Apr 2020
YOLOv4: Optimal Speed and Accuracy of Object Detection
YOLOv4: Optimal Speed and Accuracy of Object Detection
Alexey Bochkovskiy
Chien-Yao Wang
H. Liao
VLM
ObjD
63
12,055
0
23 Apr 2020
Spatially Attentive Output Layer for Image Classification
Spatially Attentive Output Layer for Image Classification
Ildoo Kim
Woonhyuk Baek
Sungwoong Kim
8
25
0
16 Apr 2020
Extreme Consistency: Overcoming Annotation Scarcity and Domain Shifts
Extreme Consistency: Overcoming Annotation Scarcity and Domain Shifts
Gaurav Fotedar
Nima Tajbakhsh
Shilpa P. Ananth
Xiaowei Ding
19
17
0
15 Apr 2020
WQT and DG-YOLO: towards domain generalization in underwater object
  detection
WQT and DG-YOLO: towards domain generalization in underwater object detection
Hong Liu
Pinhao Song
Runwei Ding
17
26
0
14 Apr 2020
OpenMix: Reviving Known Knowledge for Discovering Novel Visual
  Categories in An Open World
OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in An Open World
Zhun Zhong
Linchao Zhu
Zhiming Luo
Shaozi Li
Yi Yang
N. Sebe
VLM
CLL
33
113
0
12 Apr 2020
Attribute Mix: Semantic Data Augmentation for Fine Grained Recognition
Attribute Mix: Semantic Data Augmentation for Fine Grained Recognition
Hao Li
Xiaopeng Zhang
H. Xiong
Qi Tian
6
41
0
06 Apr 2020
Rethinking Data Augmentation for Image Super-resolution: A Comprehensive
  Analysis and a New Strategy
Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy
Jaejun Yoo
Namhyuk Ahn
Kyung-ah Sohn
SupR
9
153
0
01 Apr 2020
Previous
123...484950
Next