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Implicit Semantic Data Augmentation for Deep Networks

Implicit Semantic Data Augmentation for Deep Networks

26 September 2019
Yulin Wang
Xuran Pan
Shiji Song
Hong Zhang
Cheng Wu
Gao Huang
ArXivPDFHTML

Papers citing "Implicit Semantic Data Augmentation for Deep Networks"

32 / 32 papers shown
Title
Memory-guided Network with Uncertainty-based Feature Augmentation for
  Few-shot Semantic Segmentation
Memory-guided Network with Uncertainty-based Feature Augmentation for Few-shot Semantic Segmentation
Xinyue Chen
Miaojing Shi
31
0
0
01 Jun 2024
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods
A. Mumuni
F. Mumuni
62
5
0
13 Mar 2024
FAGC:Feature Augmentation on Geodesic Curve in the Pre-Shape Space
FAGC:Feature Augmentation on Geodesic Curve in the Pre-Shape Space
Yuexing Han
Guanxin Wan
Bing Wang
21
5
0
06 Dec 2023
Vicinal Feature Statistics Augmentation for Federated 3D Medical Volume
  Segmentation
Vicinal Feature Statistics Augmentation for Federated 3D Medical Volume Segmentation
Y. Huang
Wanqing Xie
Mingzhen Li
Mingmei Cheng
Jinzhou Wu
Weixiao Wang
Jane You
Xiaofeng Liu
FedML
26
3
0
23 Oct 2023
Zone Evaluation: Revealing Spatial Bias in Object Detection
Zone Evaluation: Revealing Spatial Bias in Object Detection
Zhaohui Zheng
Yuming Chen
Qibin Hou
Xiang Li
Ping Wang
Ming-Ming Cheng
ObjD
24
3
0
20 Oct 2023
DASA: Difficulty-Aware Semantic Augmentation for Speaker Verification
DASA: Difficulty-Aware Semantic Augmentation for Speaker Verification
Yuanyuan Wang
Yang Zhang
Zhiyong Wu
Zhihan Yang
Tao Wei
Kun Zou
Helen M. Meng
17
1
0
18 Oct 2023
Dual Compensation Residual Networks for Class Imbalanced Learning
Dual Compensation Residual Networks for Class Imbalanced Learning
Rui Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
20
5
0
25 Aug 2023
SplineCam: Exact Visualization and Characterization of Deep Network
  Geometry and Decision Boundaries
SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries
Ahmed Imtiaz Humayun
Randall Balestriero
Guha Balakrishnan
Richard Baraniuk
24
17
0
24 Feb 2023
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond
Yifei Zhang
Hao Zhu
Zixing Song
Piotr Koniusz
Irwin King
37
87
0
02 Dec 2022
Compound Batch Normalization for Long-tailed Image Classification
Compound Batch Normalization for Long-tailed Image Classification
Lechao Cheng
Chaowei Fang
Dingwen Zhang
Guanbin Li
Gang Huang
40
11
0
02 Dec 2022
Intra-class Adaptive Augmentation with Neighbor Correction for Deep
  Metric Learning
Intra-class Adaptive Augmentation with Neighbor Correction for Deep Metric Learning
Zheren Fu
Zhendong Mao
Bo Hu
An-an Liu
Yongdong Zhang
23
5
0
29 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
21
15
0
24 Nov 2022
Continual Learning by Modeling Intra-Class Variation
Continual Learning by Modeling Intra-Class Variation
L. Yu
Tianyang Hu
Lanqing Hong
Zhen Liu
Adrian Weller
Weiyang Liu
CLL
48
12
0
11 Oct 2022
Tackling Instance-Dependent Label Noise with Dynamic Distribution
  Calibration
Tackling Instance-Dependent Label Noise with Dynamic Distribution Calibration
Manyi Zhang
Yuxin Ren
Zihao W. Wang
C. Yuan
21
3
0
11 Oct 2022
Class-Level Logit Perturbation
Class-Level Logit Perturbation
Mengyang Li
Fengguang Su
O. Wu
Tianjin University
AAML
29
3
0
13 Sep 2022
Semi-supervised Semantic Segmentation with Mutual Knowledge Distillation
Semi-supervised Semantic Segmentation with Mutual Knowledge Distillation
Jianlong Yuan
Jinchao Ge
Zhibin Wang
Yifan Liu
15
17
0
24 Aug 2022
Tackling Long-Tailed Category Distribution Under Domain Shifts
Tackling Long-Tailed Category Distribution Under Domain Shifts
Xiao Gu
Yao Guo
Zeju Li
Jianing Qiu
Qianming Dou
Yuxuan Liu
Benny P. L. Lo
Guangxu Yang
OOD
42
12
0
20 Jul 2022
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive
  Learning
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning
Yifei Zhang
Hao Zhu
Zixing Song
Piotr Koniusz
Iriwn King
36
90
0
09 Jun 2022
GDC- Generalized Distribution Calibration for Few-Shot Learning
GDC- Generalized Distribution Calibration for Few-Shot Learning
Shakti Kumar
Hussain Zaidi
15
8
0
11 Apr 2022
Uncertainty Modeling for Out-of-Distribution Generalization
Uncertainty Modeling for Out-of-Distribution Generalization
Xiaotong Li
Yongxing Dai
Yixiao Ge
Jun Liu
Ying Shan
Ling-Yu Duan
OODD
OOD
18
175
0
08 Feb 2022
Glance and Focus Networks for Dynamic Visual Recognition
Glance and Focus Networks for Dynamic Visual Recognition
Gao Huang
Yulin Wang
Kangchen Lv
Haojun Jiang
Wenhui Huang
Pengfei Qi
S. Song
3DH
71
49
0
09 Jan 2022
The Majority Can Help The Minority: Context-rich Minority Oversampling
  for Long-tailed Classification
The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification
Seulki Park
Youngkyu Hong
Byeongho Heo
Sangdoo Yun
J. Choi
17
146
0
01 Dec 2021
Label-Aware Distribution Calibration for Long-tailed Classification
Label-Aware Distribution Calibration for Long-tailed Classification
Chaozheng Wang
Shuzheng Gao
Cuiyun Gao
Pengyun Wang
Wenjie Pei
Lujia Pan
Zenglin Xu
32
20
0
09 Nov 2021
DEX: Domain Embedding Expansion for Generalized Person Re-identification
DEX: Domain Embedding Expansion for Generalized Person Re-identification
Eugene P. W. Ang
Lin Shan
Alex C. Kot
29
12
0
21 Oct 2021
Repaint: Improving the Generalization of Down-Stream Visual Tasks by
  Generating Multiple Instances of Training Examples
Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training Examples
Amin Banitalebi-Dehkordi
Yong Zhang
28
7
0
20 Oct 2021
Towards Understanding the Generative Capability of Adversarially Robust
  Classifiers
Towards Understanding the Generative Capability of Adversarially Robust Classifiers
Yao Zhu
Jiacheng Ma
Jiacheng Sun
Zewei Chen
Rongxin Jiang
Zhenguo Li
AAML
13
21
0
20 Aug 2021
Adaptive Focus for Efficient Video Recognition
Adaptive Focus for Efficient Video Recognition
Yulin Wang
Zhaoxi Chen
Haojun Jiang
Shiji Song
Yizeng Han
Gao Huang
37
98
0
07 May 2021
Transferable Semantic Augmentation for Domain Adaptation
Transferable Semantic Augmentation for Domain Adaptation
Shuang Li
Mixue Xie
Kaixiong Gong
Chi Harold Liu
Yulin Wang
Wei Li
TTA
27
123
0
23 Mar 2021
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks
Hieu H. Pham
Quoc V. Le
70
56
0
05 Jan 2021
Regularizing Deep Networks with Semantic Data Augmentation
Regularizing Deep Networks with Semantic Data Augmentation
Yulin Wang
Gao Huang
Shiji Song
Xuran Pan
Yitong Xia
Cheng Wu
19
155
0
21 Jul 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
18
134
0
25 Feb 2020
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
238
3,190
0
30 Oct 2016
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