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TeachAugment: Data Augmentation Optimization Using Teacher Knowledge
v1v2v3 (latest)

TeachAugment: Data Augmentation Optimization Using Teacher Knowledge

25 February 2022
Teppei Suzuki
    ViT
ArXiv (abs)PDFHTML

Papers citing "TeachAugment: Data Augmentation Optimization Using Teacher Knowledge"

19 / 19 papers shown
Title
Data-Augmented Quantization-Aware Knowledge Distillation
Data-Augmented Quantization-Aware Knowledge Distillation
Justin Kur
Kaiqi Zhao
MQ
60
0
0
04 Sep 2025
SCOUT: Semi-supervised Camouflaged Object Detection by Utilizing Text and Adaptive Data Selection
SCOUT: Semi-supervised Camouflaged Object Detection by Utilizing Text and Adaptive Data SelectionInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Weiqi Yan
Lvhai Chen
Shengchuan Zhang
Yan Zhang
Liujuan Cao
32
0
0
25 Aug 2025
Sample-aware RandAugment: Search-free Automatic Data Augmentation for Effective Image Recognition
Sample-aware RandAugment: Search-free Automatic Data Augmentation for Effective Image Recognition
Anqi Xiao
Weichen Yu
Hongyuan Yu
32
0
0
11 Aug 2025
Enhancing Small-Scale Dataset Expansion with Triplet-Connection-based Sample Re-Weighting
Enhancing Small-Scale Dataset Expansion with Triplet-Connection-based Sample Re-Weighting
Ting Xiang
Changjian Chen
Zhuo Tang
Qifeng Zhang
Fei Lyu
Li Yang
Jiapeng Zhang
KenLi Li
MedIm
40
0
0
11 Aug 2025
Robust Asymmetric Heterogeneous Federated Learning with Corrupted Clients
Xiuwen Fang
Mang Ye
Di Lin
FedML
242
3
0
12 Mar 2025
AdaAugment: A Tuning-Free and Adaptive Approach to Enhance Data Augmentation
AdaAugment: A Tuning-Free and Adaptive Approach to Enhance Data Augmentation
Suorong Yang
Peijia Li
Xin Xiong
Shen Furao
Jian Zhao
135
7
0
19 May 2024
CAAP: Class-Dependent Automatic Data Augmentation Based On Adaptive
  Policies For Time Series
CAAP: Class-Dependent Automatic Data Augmentation Based On Adaptive Policies For Time Series
Tien-Yu Chang
Hao Dai
Vincent S. Tseng
AI4TS
95
0
0
01 Apr 2024
Bidirectional Multi-Step Domain Generalization for Visible-Infrared Person Re-Identification
Bidirectional Multi-Step Domain Generalization for Visible-Infrared Person Re-Identification
Mahdi Alehdaghi
Pourya Shamsolmoali
Rafael M. O. Cruz
Eric Granger
147
2
0
16 Mar 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
195
12
0
13 Mar 2024
DualAug: Exploiting Additional Heavy Augmentation with OOD Data
  Rejection
DualAug: Exploiting Additional Heavy Augmentation with OOD Data Rejection
Zehao Wang
Yiwen Guo
Qizhang Li
Guanglei Yang
Wangmeng Zuo
110
1
0
12 Oct 2023
Domain Generalization by Rejecting Extreme Augmentations
Domain Generalization by Rejecting Extreme AugmentationsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2025
Masih Aminbeidokhti
F. Guerrero-Peña
H. R. Medeiros
Thomas Dubail
Eric Granger
M. Pedersoli
ViT
120
6
0
10 Oct 2023
SLACK: Stable Learning of Augmentations with Cold-start and KL
  regularization
SLACK: Stable Learning of Augmentations with Cold-start and KL regularization
Juliette Marrie
Michael Arbel
Diane Larlus
Julien Mairal
OffRL
107
6
0
16 Jun 2023
Clothes Grasping and Unfolding Based on RGB-D Semantic Segmentation
Clothes Grasping and Unfolding Based on RGB-D Semantic Segmentation
Xin-Hai Zhu
Xiao Wang
J. Freer
H. Chang
Yixing Gao
130
5
0
05 May 2023
Learning Multimodal Data Augmentation in Feature Space
Learning Multimodal Data Augmentation in Feature Space
Zichang Liu
Zhiqiang Tang
Xingjian Shi
Aston Zhang
Mu Li
Anshumali Shrivastava
A. Wilson
142
27
0
29 Dec 2022
Local Magnification for Data and Feature Augmentation
Local Magnification for Data and Feature Augmentation
Kun He
Chang-rui Liu
Stephen Lin
John E. Hopcroft
102
2
0
15 Nov 2022
Improving the Transferability of Adversarial Attacks on Face Recognition
  with Beneficial Perturbation Feature Augmentation
Improving the Transferability of Adversarial Attacks on Face Recognition with Beneficial Perturbation Feature Augmentation
Fengfan Zhou
H. Ling
Yuxuan Shi
Jiazhong Chen
Zongyi Li
Ping Li
AAML
247
8
0
28 Oct 2022
Learning Self-Regularized Adversarial Views for Self-Supervised Vision
  Transformers
Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers
Tao Tang
Changlin Li
Guangrun Wang
Kaicheng Yu
Xiaojun Chang
Xiaodan Liang
ViT
117
1
0
16 Oct 2022
ReSmooth: Detecting and Utilizing OOD Samples when Training with Data
  Augmentation
ReSmooth: Detecting and Utilizing OOD Samples when Training with Data Augmentation
Chenyang Wang
Junjun Jiang
Xiong Zhou
Xianming Liu
114
5
0
25 May 2022
Deeper Insights into the Robustness of ViTs towards Common Corruptions
Deeper Insights into the Robustness of ViTs towards Common Corruptions
Rui Tian
Zuxuan Wu
Qi Dai
Han Hu
Yu-Gang Jiang
ViTAAML
146
6
0
26 Apr 2022
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