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TeachAugment: Data Augmentation Optimization Using Teacher Knowledge

TeachAugment: Data Augmentation Optimization Using Teacher Knowledge

25 February 2022
Teppei Suzuki
    ViT
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Papers citing "TeachAugment: Data Augmentation Optimization Using Teacher Knowledge"

14 / 14 papers shown
Title
Robust Asymmetric Heterogeneous Federated Learning with Corrupted Clients
Xiuwen Fang
Mang Ye
Bo Du
FedML
66
1
0
12 Mar 2025
EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for
  Image Classification
EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for Image Classification
Suorong Yang
F. Shen
Jian Zhao
AAML
29
1
0
10 Sep 2024
SUMix: Mixup with Semantic and Uncertain Information
SUMix: Mixup with Semantic and Uncertain Information
Huafeng Qin
Xin Jin
Hongyu Zhu
Hongchao Liao
M. El-Yacoubi
Xinbo Gao
UQCV
28
5
0
10 Jul 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
27
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
38
1
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
62
5
0
13 Mar 2024
Learning Better with Less: Effective Augmentation for Sample-Efficient
  Visual Reinforcement Learning
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning
Guozheng Ma
Linrui Zhang
Haoyu Wang
Lu Li
Zilin Wang
Zhen Wang
Li Shen
Xueqian Wang
Dacheng Tao
42
10
0
25 May 2023
Target-driven One-Shot Unsupervised Domain Adaptation
Target-driven One-Shot Unsupervised Domain Adaptation
Julio Ivan Davila Carrazco
Suvarna Kadam
Pietro Morerio
Alessio Del Bue
Vittorio Murino
16
2
0
08 May 2023
Local Magnification for Data and Feature Augmentation
Local Magnification for Data and Feature Augmentation
Kun He
Chang-rui Liu
Stephen Lin
J. Hopcroft
19
2
0
15 Nov 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
23
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
32
3
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
ViT
AAML
21
4
0
26 Apr 2022
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,369
0
09 Mar 2020
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
261
1,275
0
06 Mar 2017
1