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DropBlock: A regularization method for convolutional networks

DropBlock: A regularization method for convolutional networks

30 October 2018
Golnaz Ghiasi
Nayeon Lee
Quoc V. Le
ArXivPDFHTML

Papers citing "DropBlock: A regularization method for convolutional networks"

20 / 170 papers shown
Title
Defective Convolutional Networks
Defective Convolutional Networks
Tiange Luo
Tianle Cai
Mengxiao Zhang
Siyu Chen
Di He
Liwei Wang
AAML
35
3
0
19 Nov 2019
On the Regularization Properties of Structured Dropout
On the Regularization Properties of Structured Dropout
Ambar Pal
Connor Lane
René Vidal
B. Haeffele
18
13
0
30 Oct 2019
Occlusions for Effective Data Augmentation in Image Classification
Occlusions for Effective Data Augmentation in Image Classification
Ruth C. Fong
Andrea Vedaldi
30
20
0
23 Oct 2019
When Does Self-supervision Improve Few-shot Learning?
When Does Self-supervision Improve Few-shot Learning?
Jong-Chyi Su
Subhransu Maji
B. Hariharan
31
168
0
08 Oct 2019
Convolutional Neural Networks with Dynamic Regularization
Convolutional Neural Networks with Dynamic Regularization
Yi Wang
Zhen-Peng Bian
Junhui Hou
Lap-Pui Chau
21
21
0
26 Sep 2019
GraphMix: Improved Training of GNNs for Semi-Supervised Learning
GraphMix: Improved Training of GNNs for Semi-Supervised Learning
Vikas Verma
Meng Qu
Kenji Kawaguchi
Alex Lamb
Yoshua Bengio
Arno Solin
Jian Tang
33
62
0
25 Sep 2019
Don't ignore Dropout in Fully Convolutional Networks
Don't ignore Dropout in Fully Convolutional Networks
T. Spilsbury
Paavo Camps
SSeg
11
2
0
24 Aug 2019
DropAttention: A Regularization Method for Fully-Connected
  Self-Attention Networks
DropAttention: A Regularization Method for Fully-Connected Self-Attention Networks
Zehui Lin
Pengfei Liu
Luyao Huang
Junkun Chen
Xipeng Qiu
Xuanjing Huang
3DPC
16
44
0
25 Jul 2019
Learning Data Augmentation Strategies for Object Detection
Learning Data Augmentation Strategies for Object Detection
Barret Zoph
E. D. Cubuk
Golnaz Ghiasi
Nayeon Lee
Jonathon Shlens
Quoc V. Le
39
523
0
26 Jun 2019
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot
  Learning
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning
Han-Jia Ye
Hexiang Hu
De-Chuan Zhan
30
59
0
07 Jun 2019
Improving Robustness Without Sacrificing Accuracy with Patch Gaussian
  Augmentation
Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation
Raphael Gontijo-Lopes
Dong Yin
Ben Poole
Justin Gilmer
E. D. Cubuk
AAML
33
204
0
06 Jun 2019
CutMix: Regularization Strategy to Train Strong Classifiers with
  Localizable Features
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
391
4,694
0
13 May 2019
Attention Augmented Convolutional Networks
Attention Augmented Convolutional Networks
Irwan Bello
Barret Zoph
Ashish Vaswani
Jonathon Shlens
Quoc V. Le
46
999
0
22 Apr 2019
Neural Architecture Search for Deep Face Recognition
Neural Architecture Search for Deep Face Recognition
Ning Zhu
CVBM
22
9
0
21 Apr 2019
Many Task Learning with Task Routing
Many Task Learning with Task Routing
Gjorgji Strezoski
Nanne van Noord
M. Worring
MoE
24
96
0
28 Mar 2019
Improving Referring Expression Grounding with Cross-modal
  Attention-guided Erasing
Improving Referring Expression Grounding with Cross-modal Attention-guided Erasing
Xihui Liu
Zihao Wang
Jing Shao
Xiaogang Wang
Hongsheng Li
ObjD
19
180
0
03 Mar 2019
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions
Han-Jia Ye
Hexiang Hu
De-Chuan Zhan
Fei Sha
68
657
0
10 Dec 2018
Global Second-order Pooling Convolutional Networks
Global Second-order Pooling Convolutional Networks
Zilin Gao
Jiangtao Xie
Qilong Wang
P. Li
35
330
0
29 Nov 2018
Batch DropBlock Network for Person Re-identification and Beyond
Batch DropBlock Network for Person Re-identification and Beyond
Zuozhuo Dai
Mingqiang Chen
Xiaodong Gu
Siyu Zhu
Ping Tan
OOD
8
246
0
17 Nov 2018
Excitation Dropout: Encouraging Plasticity in Deep Neural Networks
Excitation Dropout: Encouraging Plasticity in Deep Neural Networks
Andrea Zunino
Sarah Adel Bargal
Pietro Morerio
Jianming Zhang
Stan Sclaroff
Vittorio Murino
21
23
0
23 May 2018
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