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Deep Pyramidal Residual Networks

Deep Pyramidal Residual Networks

10 October 2016
Dongyoon Han
Jiwhan Kim
Junmo Kim
ArXivPDFHTML

Papers citing "Deep Pyramidal Residual Networks"

50 / 110 papers shown
Title
ShuffleBlock: Shuffle to Regularize Deep Convolutional Neural Networks
ShuffleBlock: Shuffle to Regularize Deep Convolutional Neural Networks
Sudhakar Kumawat
Gagan Kanojia
Shanmuganathan Raman
16
5
0
17 Jun 2021
Survey: Image Mixing and Deleting for Data Augmentation
Survey: Image Mixing and Deleting for Data Augmentation
Humza Naveed
Saeed Anwar
Munawar Hayat
Kashif Javed
Ajmal Mian
38
78
0
13 Jun 2021
DISCO: accurate Discrete Scale Convolutions
DISCO: accurate Discrete Scale Convolutions
Ivan Sosnovik
A. Moskalev
A. Smeulders
26
31
0
04 Jun 2021
Boosting Masked Face Recognition with Multi-Task ArcFace
Boosting Masked Face Recognition with Multi-Task ArcFace
David Montero
Marcos Nieto
P. Leskovský
N. Aginako
CVBM
30
48
0
20 Apr 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
362
564
0
30 Mar 2021
ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning
  of Deep Neural Networks
ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks
Jungmin Kwon
Jeongseop Kim
Hyunseong Park
I. Choi
36
281
0
23 Feb 2021
Unchain the Search Space with Hierarchical Differentiable Architecture
  Search
Unchain the Search Space with Hierarchical Differentiable Architecture Search
Guanting Liu
Yujie Zhong
Sheng Guo
Matthew R. Scott
Weilin Huang
AI4CE
21
2
0
11 Jan 2021
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks
Hieu H. Pham
Quoc V. Le
76
56
0
05 Jan 2021
Facial Expressions as a Vulnerability in Face Recognition
Facial Expressions as a Vulnerability in Face Recognition
Alejandro Peña
Ignacio Serna
Aythami Morales
Julian Fierrez
Àgata Lapedriza
CVBM
11
18
0
17 Nov 2020
Regularizing Neural Networks via Adversarial Model Perturbation
Regularizing Neural Networks via Adversarial Model Perturbation
Yaowei Zheng
Richong Zhang
Yongyi Mao
AAML
30
95
0
10 Oct 2020
Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image
  Classification
Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image Classification
Oren Nuriel
Sagie Benaim
Lior Wolf
28
88
0
09 Oct 2020
Sharpness-Aware Minimization for Efficiently Improving Generalization
Sharpness-Aware Minimization for Efficiently Improving Generalization
Pierre Foret
Ariel Kleiner
H. Mobahi
Behnam Neyshabur
AAML
104
1,278
0
03 Oct 2020
S3NAS: Fast NPU-aware Neural Architecture Search Methodology
S3NAS: Fast NPU-aware Neural Architecture Search Methodology
Jaeseong Lee
Duseok Kang
S. Ha
35
10
0
04 Sep 2020
Simulating Unknown Target Models for Query-Efficient Black-box Attacks
Simulating Unknown Target Models for Query-Efficient Black-box Attacks
Chen Ma
L. Chen
Junhai Yong
MLAU
OOD
41
17
0
02 Sep 2020
Breaking the Curse of Space Explosion: Towards Efficient NAS with
  Curriculum Search
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search
Yong Guo
Yaofo Chen
Yin Zheng
P. Zhao
Jian Chen
Junzhou Huang
Mingkui Tan
27
66
0
07 Jul 2020
Surrogate-assisted Particle Swarm Optimisation for Evolving
  Variable-length Transferable Blocks for Image Classification
Surrogate-assisted Particle Swarm Optimisation for Evolving Variable-length Transferable Blocks for Image Classification
Bin Wang
Bing Xue
Mengjie Zhang
23
53
0
03 Jul 2020
Disturbance-immune Weight Sharing for Neural Architecture Search
Disturbance-immune Weight Sharing for Neural Architecture Search
Shuaicheng Niu
Jiaxiang Wu
Yifan Zhang
Yong Guo
P. Zhao
Junzhou Huang
Mingkui Tan
15
27
0
29 Mar 2020
Fisheye Distortion Rectification from Deep Straight Lines
Fisheye Distortion Rectification from Deep Straight Lines
Zhucun Xue
Nan Xue
Guisong Xia
26
12
0
25 Mar 2020
Circumventing Outliers of AutoAugment with Knowledge Distillation
Circumventing Outliers of AutoAugment with Knowledge Distillation
Longhui Wei
Anxiang Xiao
Lingxi Xie
Xin Chen
Xiaopeng Zhang
Qi Tian
24
62
0
25 Mar 2020
An Empirical Evaluation on Robustness and Uncertainty of Regularization
  Methods
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods
Sanghyuk Chun
Seong Joon Oh
Sangdoo Yun
Dongyoon Han
Junsuk Choe
Y. Yoo
AAML
OOD
342
53
0
09 Mar 2020
On Feature Normalization and Data Augmentation
On Feature Normalization and Data Augmentation
Boyi Li
Felix Wu
Ser-Nam Lim
Serge J. Belongie
Kilian Q. Weinberger
21
134
0
25 Feb 2020
Adversarial AutoAugment
Adversarial AutoAugment
Xinyu Zhang
Qiang-qiang Wang
Jian Zhang
Zhaobai Zhong
AAML
28
196
0
24 Dec 2019
Progressive DARTS: Bridging the Optimization Gap for NAS in the Wild
Progressive DARTS: Bridging the Optimization Gap for NAS in the Wild
Xin Chen
Lingxi Xie
Jun Wu
Qi Tian
11
93
0
23 Dec 2019
Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks
Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks
Luca Bertinetto
Romain Mueller
Konstantinos Tertikas
Sina Samangooei
Nicholas A. Lord
OOD
12
131
0
19 Dec 2019
CSPNet: A New Backbone that can Enhance Learning Capability of CNN
CSPNet: A New Backbone that can Enhance Learning Capability of CNN
Chien-Yao Wang
H. Liao
I-Hau Yeh
Yueh-hua Wu
Ping-Yang Chen
J. Hsieh
36
3,047
0
27 Nov 2019
RandAugment: Practical automated data augmentation with a reduced search
  space
RandAugment: Practical automated data augmentation with a reduced search space
E. D. Cubuk
Barret Zoph
Jonathon Shlens
Quoc V. Le
MQ
90
3,411
0
30 Sep 2019
GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended
  Animation
GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended Animation
Jiawei Zhang
Lin Meng
16
52
0
12 Sep 2019
Knowledge Transfer Graph for Deep Collaborative Learning
Knowledge Transfer Graph for Deep Collaborative Learning
Soma Minami
Tsubasa Hirakawa
Takayoshi Yamashita
H. Fujiyoshi
28
9
0
10 Sep 2019
NLNL: Negative Learning for Noisy Labels
NLNL: Negative Learning for Noisy Labels
Youngdong Kim
Junho Yim
Juseung Yun
Junmo Kim
NoLa
17
265
0
19 Aug 2019
AutoML: A Survey of the State-of-the-Art
AutoML: A Survey of the State-of-the-Art
Xin He
Kaiyong Zhao
X. Chu
20
1,420
0
02 Aug 2019
Multi-level Wavelet Convolutional Neural Networks
Multi-level Wavelet Convolutional Neural Networks
Pengju Liu
Hongzhi Zhang
Wei Lian
W. Zuo
27
199
0
06 Jul 2019
A Preliminary Study on Data Augmentation of Deep Learning for Image
  Classification
A Preliminary Study on Data Augmentation of Deep Learning for Image Classification
Benlin Hu
Cheng-Hsun Lei
Dong Wang
Shu Zhang
Zhenyu Chen
9
48
0
09 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
Ensemble Model Patching: A Parameter-Efficient Variational Bayesian
  Neural Network
Ensemble Model Patching: A Parameter-Efficient Variational Bayesian Neural Network
Oscar Chang
Yuling Yao
David Williams-King
Hod Lipson
BDL
UQCV
32
8
0
23 May 2019
Be Your Own Teacher: Improve the Performance of Convolutional Neural
  Networks via Self Distillation
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation
Linfeng Zhang
Jiebo Song
Anni Gao
Jingwei Chen
Chenglong Bao
Kaisheng Ma
FedML
27
844
0
17 May 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
328
4,691
0
13 May 2019
sharpDARTS: Faster and More Accurate Differentiable Architecture Search
sharpDARTS: Faster and More Accurate Differentiable Architecture Search
Andrew Hundt
Varun Jain
Gregory Hager
OOD
30
66
0
23 Mar 2019
Do ImageNet Classifiers Generalize to ImageNet?
Do ImageNet Classifiers Generalize to ImageNet?
Benjamin Recht
Rebecca Roelofs
Ludwig Schmidt
Vaishaal Shankar
OOD
SSeg
VLM
40
1,650
0
13 Feb 2019
A Survey of the Recent Architectures of Deep Convolutional Neural
  Networks
A Survey of the Recent Architectures of Deep Convolutional Neural Networks
Asifullah Khan
A. Sohail
Umme Zahoora
Aqsa Saeed Qureshi
OOD
41
2,268
0
17 Jan 2019
CHOPT : Automated Hyperparameter Optimization Framework for Cloud-Based
  Machine Learning Platforms
CHOPT : Automated Hyperparameter Optimization Framework for Cloud-Based Machine Learning Platforms
Jingwoong Kim
Minkyu Kim
Heungseok Park
Ernar Kusdavletov
Dongjun Lee
A. Kim
Ji-Hoon Kim
Jung-Woo Ha
Nako Sung
26
14
0
08 Oct 2018
Pyramidal Recurrent Unit for Language Modeling
Pyramidal Recurrent Unit for Language Modeling
Sachin Mehta
Rik Koncel-Kedziorski
Mohammad Rastegari
Hannaneh Hajishirzi
21
10
0
27 Aug 2018
CBAM: Convolutional Block Attention Module
CBAM: Convolutional Block Attention Module
Sanghyun Woo
Jongchan Park
Joon-Young Lee
In So Kweon
94
16,142
0
17 Jul 2018
PCAS: Pruning Channels with Attention Statistics for Deep Network
  Compression
PCAS: Pruning Channels with Attention Statistics for Deep Network Compression
Kohei Yamamoto
K. Maeno
24
32
0
14 Jun 2018
Path-Level Network Transformation for Efficient Architecture Search
Path-Level Network Transformation for Efficient Architecture Search
Han Cai
Jiacheng Yang
Weinan Zhang
Song Han
Yong Yu
27
210
0
07 Jun 2018
Do CIFAR-10 Classifiers Generalize to CIFAR-10?
Do CIFAR-10 Classifiers Generalize to CIFAR-10?
Benjamin Recht
Rebecca Roelofs
Ludwig Schmidt
Vaishaal Shankar
OOD
FedML
ELM
19
405
0
01 Jun 2018
Knowledge Distillation in Generations: More Tolerant Teachers Educate
  Better Students
Knowledge Distillation in Generations: More Tolerant Teachers Educate Better Students
Chenglin Yang
Lingxi Xie
Siyuan Qiao
Alan Yuille
27
135
0
15 May 2018
Born Again Neural Networks
Born Again Neural Networks
Tommaso Furlanello
Zachary Chase Lipton
Michael Tschannen
Laurent Itti
Anima Anandkumar
36
1,020
0
12 May 2018
SparseNet: A Sparse DenseNet for Image Classification
SparseNet: A Sparse DenseNet for Image Classification
Wenqian Liu
Kun Zeng
3DH
15
31
0
15 Apr 2018
Learnable Image Encryption
Learnable Image Encryption
Masayuki Tanaka
11
100
0
19 Mar 2018
Averaging Weights Leads to Wider Optima and Better Generalization
Averaging Weights Leads to Wider Optima and Better Generalization
Pavel Izmailov
Dmitrii Podoprikhin
T. Garipov
Dmitry Vetrov
A. Wilson
FedML
MoMe
39
1,617
0
14 Mar 2018
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