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Improved Regularization of Convolutional Neural Networks with Cutout

Improved Regularization of Convolutional Neural Networks with Cutout

15 August 2017
Terrance Devries
Graham W. Taylor
ArXivPDFHTML

Papers citing "Improved Regularization of Convolutional Neural Networks with Cutout"

50 / 798 papers shown
Title
Look Beyond Bias with Entropic Adversarial Data Augmentation
Look Beyond Bias with Entropic Adversarial Data Augmentation
Thomas Duboudin
Emmanuel Dellandrea
Corentin Abgrall
Gilles Hénaff
Liming Chen
CML
38
4
0
10 Jan 2023
I2F: A Unified Image-to-Feature Approach for Domain Adaptive Semantic
  Segmentation
I2F: A Unified Image-to-Feature Approach for Domain Adaptive Semantic Segmentation
Haoyu Ma
Xiangru Lin
Yizhou Yu
149
14
0
03 Jan 2023
OccluMix: Towards De-Occlusion Virtual Try-on by Semantically-Guided
  Mixup
OccluMix: Towards De-Occlusion Virtual Try-on by Semantically-Guided Mixup
Zhi Yang
Junyang Chen
Yukai Shi
Hao Li
Tianshui Chen
Liang Lin
DiffM
88
16
0
03 Jan 2023
Pseudo-Inverted Bottleneck Convolution for DARTS Search Space
Pseudo-Inverted Bottleneck Convolution for DARTS Search Space
Arash Ahmadian
Louis S.P. Liu
Yue Fei
Konstantinos N. Plataniotis
Mahdi S. Hosseini
28
0
0
31 Dec 2022
SMMix: Self-Motivated Image Mixing for Vision Transformers
SMMix: Self-Motivated Image Mixing for Vision Transformers
Yonghong Tian
Mingbao Lin
Zhihang Lin
Yuxin Zhang
Rongrong Ji
Rongrong Ji
55
10
0
26 Dec 2022
DAS: Neural Architecture Search via Distinguishing Activation Score
DAS: Neural Architecture Search via Distinguishing Activation Score
Yuqiao Liu
Haipeng Li
Yanan Sun
Shuaicheng Liu
41
1
0
23 Dec 2022
A Survey of Mix-based Data Augmentation: Taxonomy, Methods,
  Applications, and Explainability
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
Chengtai Cao
Fan Zhou
Yurou Dai
Jianping Wang
Kunpeng Zhang
AAML
31
28
0
21 Dec 2022
Randomized Quantization: A Generic Augmentation for Data Agnostic
  Self-supervised Learning
Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning
Huimin Wu
Chenyang Lei
Xiao Sun
Pengju Wang
Qifeng Chen
Kwang-Ting Cheng
Stephen Lin
Zhirong Wu
MQ
40
5
0
19 Dec 2022
Generative Robust Classification
Generative Robust Classification
Xuwang Yin
TPM
35
0
0
14 Dec 2022
CropCat: Data Augmentation for Smoothing the Feature Distribution of EEG
  Signals
CropCat: Data Augmentation for Smoothing the Feature Distribution of EEG Signals
Sung-Jin Kim
Dae-Hyeok Lee
Yeonjong Choi
28
4
0
13 Dec 2022
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One
  Amplifies Others
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others
Zhiheng Li
Ivan Evtimov
Albert Gordo
C. Hazirbas
Tal Hassner
Cristian Canton Ferrer
Chenliang Xu
Mark Ibrahim
41
72
0
09 Dec 2022
Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised
  Semantic Segmentation
Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic Segmentation
Zhen Zhao
Lihe Yang
Sifan Long
Jimin Pi
Luping Zhou
Jingdong Wang
54
73
0
09 Dec 2022
Expeditious Saliency-guided Mix-up through Random Gradient Thresholding
Expeditious Saliency-guided Mix-up through Random Gradient Thresholding
Minh-Long Luu
Zeyi Huang
Eric P. Xing
Yong Jae Lee
Haohan Wang
AAML
41
1
0
09 Dec 2022
MixBoost: Improving the Robustness of Deep Neural Networks by Boosting
  Data Augmentation
MixBoost: Improving the Robustness of Deep Neural Networks by Boosting Data Augmentation
Zhendong Liu
Wenyu Jiang
Min Guo
Chongjun Wang
AAML
25
1
0
08 Dec 2022
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder
Qi Tian
Kun Kuang
Ke Jiang
Furui Liu
Zhihua Wang
Fei Wu
32
7
0
04 Dec 2022
Masked Contrastive Pre-Training for Efficient Video-Text Retrieval
Masked Contrastive Pre-Training for Efficient Video-Text Retrieval
Fangxun Shu
Biaolong Chen
Yue Liao
Shuwen Xiao
Wenyu Sun
Xiaobo Li
Yousong Zhu
Jinqiao Wang
Si Liu
CLIP
35
11
0
02 Dec 2022
AdvMask: A Sparse Adversarial Attack Based Data Augmentation Method for
  Image Classification
AdvMask: A Sparse Adversarial Attack Based Data Augmentation Method for Image Classification
Suorong Yang
Jinqiao Li
Jian Zhao
S. Furao
AAML
33
6
0
29 Nov 2022
Rethinking Data Augmentation for Single-source Domain Generalization in
  Medical Image Segmentation
Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentation
Zixian Su
Kai Yao
Xi Yang
Qiufeng Wang
Jie Sun
Kaizhu Huang
35
63
0
27 Nov 2022
Cross-Domain Ensemble Distillation for Domain Generalization
Cross-Domain Ensemble Distillation for Domain Generalization
Kyung-Jin Lee
Sungyeon Kim
Suha Kwak
FedML
OOD
28
38
0
25 Nov 2022
Expanding Small-Scale Datasets with Guided Imagination
Expanding Small-Scale Datasets with Guided Imagination
Yifan Zhang
Daquan Zhou
Bryan Hooi
Kaixin Wang
Jiashi Feng
49
46
0
25 Nov 2022
On Pitfalls of Measuring Occlusion Robustness through Data Distortion
On Pitfalls of Measuring Occlusion Robustness through Data Distortion
Antonia Marcu
30
0
0
24 Nov 2022
Learning with Partial Labels from Semi-supervised Perspective
Learning with Partial Labels from Semi-supervised Perspective
Ximing Li
Yuanzhi Jiang
C. Li
Yiyuan Wang
Jihong Ouyang
SSL
28
15
0
24 Nov 2022
Learning Compact Features via In-Training Representation Alignment
Learning Compact Features via In-Training Representation Alignment
X. Li
Xiangrui Li
Deng Pan
Yao Qiang
D. Zhu
OOD
24
3
0
23 Nov 2022
SVFormer: Semi-supervised Video Transformer for Action Recognition
SVFormer: Semi-supervised Video Transformer for Action Recognition
Zhen Xing
Qi Dai
Hang-Rui Hu
Jingjing Chen
Zuxuan Wu
Yu-Gang Jiang
ViT
33
69
0
23 Nov 2022
Improving Crowded Object Detection via Copy-Paste
Improving Crowded Object Detection via Copy-Paste
Jiangfan Deng
Dewen Fan
Xiaosong Qiu
Feng Zhou
27
12
0
22 Nov 2022
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly
  Detection
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection
Xuan Zhang
Shiyu Li
Xi Li
Ping Huang
Jiulong Shan
Ting Chen
23
126
0
21 Nov 2022
Unveiling the Tapestry: the Interplay of Generalization and Forgetting
  in Continual Learning
Unveiling the Tapestry: the Interplay of Generalization and Forgetting in Continual Learning
Zenglin Shi
Jing Jie
Ying Sun
J. Lim
Mengmi Zhang
CLL
49
1
0
21 Nov 2022
AI-KD: Adversarial learning and Implicit regularization for
  self-Knowledge Distillation
AI-KD: Adversarial learning and Implicit regularization for self-Knowledge Distillation
Hyungmin Kim
Sungho Suh
Sunghyun Baek
Daehwan Kim
Daun Jeong
Hansang Cho
Junmo Kim
35
5
0
20 Nov 2022
HiveNAS: Neural Architecture Search using Artificial Bee Colony
  Optimization
HiveNAS: Neural Architecture Search using Artificial Bee Colony Optimization
M. Shahawy
E. Benkhelifa
21
1
0
18 Nov 2022
Learning to Kindle the Starlight
Learning to Kindle the Starlight
Yu Yuan
Jiaqi Wu
Lindong Wang
Zhongliang Jing
H. Leung
Shuyuan Zhu
Han Pan
DiffM
26
3
0
16 Nov 2022
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed
  Representations
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations
Linlin Liu
Xingxuan Li
Megh Thakkar
Xin Li
Shafiq Joty
Luo Si
Lidong Bing
32
2
0
16 Nov 2022
Context-Matched Collage Generation for Underwater Invertebrate Detection
Context-Matched Collage Generation for Underwater Invertebrate Detection
R. McEver
Bowen Zhang
B. S. Manjunath
38
0
0
15 Nov 2022
NAR-Former: Neural Architecture Representation Learning towards Holistic
  Attributes Prediction
NAR-Former: Neural Architecture Representation Learning towards Holistic Attributes Prediction
Yun Yi
Haokui Zhang
Wenze Hu
Nannan Wang
Xiaoyu Wang
AI4TS
AI4CE
34
8
0
15 Nov 2022
Local Magnification for Data and Feature Augmentation
Local Magnification for Data and Feature Augmentation
Kun He
Chang-rui Liu
Stephen Lin
J. Hopcroft
26
2
0
15 Nov 2022
IFQA: Interpretable Face Quality Assessment
IFQA: Interpretable Face Quality Assessment
Byungho Jo
Donghyeon Cho
I. Park
Sungeun Hong
CVBM
37
12
0
14 Nov 2022
Age Prediction Performance Varies Across Deep, Superficial, and
  Cerebellar White Matter Connections
Age Prediction Performance Varies Across Deep, Superficial, and Cerebellar White Matter Connections
Yuxiang Wei
Tengfei Xue
Yogesh Rathi
N. Makris
Fan Zhang
L. O’Donnell
30
1
0
11 Nov 2022
Masked Contrastive Representation Learning
Masked Contrastive Representation Learning
Yuan Yao
Nandakishor Desai
M. Palaniswami
SSL
24
8
0
11 Nov 2022
Extending Temporal Data Augmentation for Video Action Recognition
Extending Temporal Data Augmentation for Video Action Recognition
Artjoms Gorpincenko
Michal Mackiewicz
ViT
34
4
0
09 Nov 2022
Soft Augmentation for Image Classification
Soft Augmentation for Image Classification
Yang Liu
Shen Yan
Laura Leal-Taixé
James Hays
Deva Ramanan
38
11
0
09 Nov 2022
Large Scale Radio Frequency Wideband Signal Detection & Recognition
Large Scale Radio Frequency Wideband Signal Detection & Recognition
Luke Boegner
Garrett M. Vanhoy
Phillip Vallance
Manbir Gulati
Dresden Feitzinger
B. Comar
Rob Miller
AI4TS
18
6
0
04 Nov 2022
Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader
  Models
Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models
Shujian Zhang
Chengyue Gong
Xingchao Liu
RALM
53
6
0
02 Nov 2022
The Perils of Learning From Unlabeled Data: Backdoor Attacks on
  Semi-supervised Learning
The Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning
Virat Shejwalkar
Lingjuan Lyu
Amir Houmansadr
AAML
35
10
0
01 Nov 2022
SADT: Combining Sharpness-Aware Minimization with Self-Distillation for
  Improved Model Generalization
SADT: Combining Sharpness-Aware Minimization with Self-Distillation for Improved Model Generalization
Masud An Nur Islam Fahim
Jani Boutellier
47
0
0
01 Nov 2022
SAGE: Saliency-Guided Mixup with Optimal Rearrangements
SAGE: Saliency-Guided Mixup with Optimal Rearrangements
A. Ma
Nikita Dvornik
Ran Zhang
Leila Pishdad
Konstantinos G. Derpanis
Afsaneh Fazly
36
6
0
31 Oct 2022
SG-VAD: Stochastic Gates Based Speech Activity Detection
SG-VAD: Stochastic Gates Based Speech Activity Detection
Jonathan Svirsky
Ofir Lindenbaum
49
4
0
28 Oct 2022
ScoreMix: A Scalable Augmentation Strategy for Training GANs with
  Limited Data
ScoreMix: A Scalable Augmentation Strategy for Training GANs with Limited Data
Jie Cao
Mandi Luo
Junchi Yu
Mingmin Yang
Ran He
40
4
0
27 Oct 2022
K-SAM: Sharpness-Aware Minimization at the Speed of SGD
K-SAM: Sharpness-Aware Minimization at the Speed of SGD
Renkun Ni
Ping Yeh-Chiang
Jonas Geiping
Micah Goldblum
A. Wilson
Tom Goldstein
26
8
0
23 Oct 2022
Twin Contrastive Learning for Online Clustering
Twin Contrastive Learning for Online Clustering
Yunfan Li
Mouxing Yang
Dezhong Peng
Taihao Li
Jian-Tao Huang
Xiaocui Peng
33
107
0
21 Oct 2022
Similarity of Neural Architectures using Adversarial Attack
  Transferability
Similarity of Neural Architectures using Adversarial Attack Transferability
Jaehui Hwang
Dongyoon Han
Byeongho Heo
Song Park
Sanghyuk Chun
Jong-Seok Lee
AAML
42
1
0
20 Oct 2022
Controller-Guided Partial Label Consistency Regularization with
  Unlabeled Data
Controller-Guided Partial Label Consistency Regularization with Unlabeled Data
Qian-Wei Wang
Bowen Zhao
Mingyan Zhu
Tianxiang Li
Zimo Liu
Shutao Xia
42
2
0
20 Oct 2022
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