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Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity

Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity

5 February 2021
Jang-Hyun Kim
Wonho Choo
Hosan Jeong
Hyun Oh Song
ArXiv (abs)PDFHTMLGithub (103★)

Papers citing "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity"

22 / 22 papers shown
Title
Adaptive Mix for Semi-Supervised Medical Image Segmentation
Adaptive Mix for Semi-Supervised Medical Image Segmentation
Zhiqiang Shen
Peng Cao
Junming Su
Jinzhu Yang
Osmar R. Zaiane
101
0
0
31 Jul 2024
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup
Jang-Hyun Kim
Wonho Choo
Hyun Oh Song
AAML
89
390
0
15 Sep 2020
Rethinking Softmax with Cross-Entropy: Neural Network Classifier as
  Mutual Information Estimator
Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator
Zhenyue Qin
Dongwoo Kim
Tom Gedeon
SSL
47
50
0
25 Nov 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
622
4,798
0
13 May 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,114
0
11 Oct 2018
MixUp as Locally Linear Out-Of-Manifold Regularization
MixUp as Locally Linear Out-Of-Manifold Regularization
Hongyu Guo
Yongyi Mao
Richong Zhang
57
324
0
07 Sep 2018
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
282
9,803
0
25 Oct 2017
A Downsampled Variant of ImageNet as an Alternative to the CIFAR
  datasets
A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets
P. Chrabaszcz
I. Loshchilov
Frank Hutter
SSegOOD
163
649
0
27 Jul 2017
On Calibration of Modern Neural Networks
On Calibration of Modern Neural Networks
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
UQCV
299
5,862
0
14 Jun 2017
Virtual Adversarial Training: A Regularization Method for Supervised and
  Semi-Supervised Learning
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning
Takeru Miyato
S. Maeda
Masanori Koyama
S. Ishii
GAN
151
2,738
0
13 Apr 2017
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
522
10,345
0
16 Nov 2016
Understanding deep learning requires rethinking generalization
Understanding deep learning requires rethinking generalization
Chiyuan Zhang
Samy Bengio
Moritz Hardt
Benjamin Recht
Oriol Vinyals
HAI
345
4,636
0
10 Nov 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
321
20,070
0
07 Oct 2016
WaveNet: A Generative Model for Raw Audio
WaveNet: A Generative Model for Raw Audio
Aaron van den Oord
Sander Dieleman
Heiga Zen
Karen Simonyan
Oriol Vinyals
Alex Graves
Nal Kalchbrenner
A. Senior
Koray Kavukcuoglu
DiffM
406
7,414
0
12 Sep 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
351
7,995
0
23 May 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
354
10,192
0
16 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,322
0
10 Dec 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMatObjD
525
62,360
0
04 Jun 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,479
0
04 Sep 2014
Algorithms for Approximate Minimization of the Difference Between
  Submodular Functions, with Applications
Algorithms for Approximate Minimization of the Difference Between Submodular Functions, with Applications
Rishabh K. Iyer
J. Bilmes
61
157
0
09 Aug 2014
Deep Inside Convolutional Networks: Visualising Image Classification
  Models and Saliency Maps
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
312
7,316
0
20 Dec 2013
A submodular-supermodular procedure with applications to discriminative
  structure learning
A submodular-supermodular procedure with applications to discriminative structure learning
Mukund Narasimhan
J. Bilmes
70
171
0
04 Jul 2012
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