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2003.11342
Cited By
Circumventing Outliers of AutoAugment with Knowledge Distillation
European Conference on Computer Vision (ECCV), 2020
25 March 2020
Longhui Wei
Anxiang Xiao
Lingxi Xie
Xin Chen
Xiaopeng Zhang
Qi Tian
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Papers citing
"Circumventing Outliers of AutoAugment with Knowledge Distillation"
33 / 33 papers shown
Sample-aware RandAugment: Search-free Automatic Data Augmentation for Effective Image Recognition
Anqi Xiao
Weichen Yu
Hongyuan Yu
129
4
0
11 Aug 2025
HDKD: Hybrid Data-Efficient Knowledge Distillation Network for Medical Image Classification
Omar S. El-Assiouti
Ghada Hamed
Dina Khattab
H. M. Ebied
391
18
0
10 Jul 2024
Low-Resolution Chest X-ray Classification via Knowledge Distillation and Multi-task Learning
Yasmeena Akhter
Rishabh Ranjan
Richa Singh
Mayank Vatsa
250
3
0
22 May 2024
Comprehensive Survey of Model Compression and Speed up for Vision Transformers
Feiyang Chen
Ziqian Luo
Lisang Zhou
Xueting Pan
Ying Jiang
196
33
0
16 Apr 2024
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods
Knowledge and Information Systems (KAIS), 2024
A. Mumuni
F. Mumuni
467
24
0
13 Mar 2024
DualAug: Exploiting Additional Heavy Augmentation with OOD Data Rejection
Zehao Wang
Yiwen Guo
Qizhang Li
Guanglei Yang
Wangmeng Zuo
279
2
0
12 Oct 2023
Domain Generalization by Rejecting Extreme Augmentations
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Masih Aminbeidokhti
F. Guerrero-Peña
H. R. Medeiros
Thomas Dubail
Eric Granger
M. Pedersoli
ViT
322
8
0
10 Oct 2023
Revisiting Data Augmentation in Model Compression: An Empirical and Comprehensive Study
IEEE International Joint Conference on Neural Network (IJCNN), 2023
Muzhou Yu
Linfeng Zhang
Kaisheng Ma
313
2
0
22 May 2023
Feature Perturbation Augmentation for Reliable Evaluation of Importance Estimators in Neural Networks
Pattern Recognition Letters (PR), 2023
L. Brocki
N. C. Chung
FAtt
AAML
337
21
0
02 Mar 2023
Unsupervised Domain Adaptation on Person Re-Identification via Dual-level Asymmetric Mutual Learning
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Qiong Wu
Jiahan Li
Pingyang Dai
QiXiang Ye
Liujuan Cao
Yongjian Wu
Rongrong Ji
229
5
0
29 Jan 2023
Co-training
2
L
2^L
2
L
Submodels for Visual Recognition
Computer Vision and Pattern Recognition (CVPR), 2022
Hugo Touvron
Matthieu Cord
Maxime Oquab
Piotr Bojanowski
Jakob Verbeek
Edouard Grave
VLM
213
12
0
09 Dec 2022
Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers
Tao Tang
Changlin Li
Guangrun Wang
Kaicheng Yu
Xiaojun Chang
Xiaodan Liang
ViT
238
1
0
16 Oct 2022
Pose Uncertainty Aware Movement Synchrony Estimation via Spatial-Temporal Graph Transformer
International Conference on Multimodal Interaction (ICMI), 2022
Jicheng Li
Anjana Bhat
R. Barmaki
ViT
201
6
0
01 Aug 2022
A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classification Tasks
Knowledge and Information Systems (KAIS), 2022
Z. Yang
Richard Sinnott
James Bailey
Qiuhong Ke
317
64
0
14 Jun 2022
A General Multiple Data Augmentation Based Framework for Training Deep Neural Networks
IEEE International Joint Conference on Neural Network (IJCNN), 2022
Bin Hu
Yu Sun
•. A. K. Qin
AI4CE
185
0
0
29 May 2022
ReSmooth: Detecting and Utilizing OOD Samples when Training with Data Augmentation
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Chenyang Wang
Junjun Jiang
Xiong Zhou
Xianming Liu
230
7
0
25 May 2022
Source Domain Subset Sampling for Semi-Supervised Domain Adaptation in Semantic Segmentation
Social Science Research Network (SSRN), 2022
Daehan Kim
Min-seok Seo
Jinsun Park
Dong-Geol Choi
TTA
466
4
0
30 Apr 2022
Solving ImageNet: a Unified Scheme for Training any Backbone to Top Results
T. Ridnik
Hussam Lawen
Emanuel Ben-Baruch
Asaf Noy
347
13
0
07 Apr 2022
Unified Visual Transformer Compression
International Conference on Learning Representations (ICLR), 2022
Shixing Yu
Tianlong Chen
Jiayi Shen
Huan Yuan
Jianchao Tan
Sen Yang
Ji Liu
Zinan Lin
ViT
261
116
0
15 Mar 2022
TeachAugment: Data Augmentation Optimization Using Teacher Knowledge
Computer Vision and Pattern Recognition (CVPR), 2022
Teppei Suzuki
ViT
324
62
0
25 Feb 2022
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture
Kaichen Zhou
Lanqing Hong
Shuailiang Hu
Fengwei Zhou
Binxin Ru
Jiashi Feng
Zhenguo Li
211
12
0
13 Sep 2021
ParticleAugment: Sampling-Based Data Augmentation
Alexander Tsaregorodtsev
Vasileios Belagiannis
224
6
0
16 Jun 2021
Exploring the Diversity and Invariance in Yourself for Visual Pre-Training Task
Pattern Recognition (Pattern Recogn.), 2021
Longhui Wei
Lingxi Xie
Wen-gang Zhou
Houqiang Li
Qi Tian
SSL
262
4
0
01 Jun 2021
BasisNet: Two-stage Model Synthesis for Efficient Inference
Ruotong Wang
Chun-Te Chu
A. Zhmoginov
Andrew G. Howard
Brendan Jou
Yukun Zhu
Li Zhang
R. Hwa
Adriana Kovashka
3DH
206
8
0
07 May 2021
InAugment: Improving Classifiers via Internal Augmentation
Moab Arar
Ariel Shamir
Amit H. Bermano
169
2
0
08 Apr 2021
Characterizing signal propagation to close the performance gap in unnormalized ResNets
International Conference on Learning Representations (ICLR), 2021
Andrew Brock
Soham De
Samuel L. Smith
534
138
0
21 Jan 2021
Training data-efficient image transformers & distillation through attention
International Conference on Machine Learning (ICML), 2020
Hugo Touvron
Matthieu Cord
Matthijs Douze
Francisco Massa
Alexandre Sablayrolles
Edouard Grave
ViT
776
8,762
0
23 Dec 2020
KeepAugment: A Simple Information-Preserving Data Augmentation Approach
Computer Vision and Pattern Recognition (CVPR), 2020
Chengyue Gong
Dilin Wang
Meng Li
Vikas Chandra
Qiang Liu
242
142
0
23 Nov 2020
Can Semantic Labels Assist Self-Supervised Visual Representation Learning?
AAAI Conference on Artificial Intelligence (AAAI), 2020
Longhui Wei
Lingxi Xie
Jianzhong He
Jianlong Chang
Xiaopeng Zhang
Wen-gang Zhou
Houqiang Li
Qi Tian
SSL
136
28
0
17 Nov 2020
VEGA: Towards an End-to-End Configurable AutoML Pipeline
Bochao Wang
Hang Xu
Jiajin Zhang
Chong Chen
Xiaozhi Fang
...
Wei Zhang
Chunjing Xu
Zhenguo Li
Wenzhi Liu
Tong Zhang
406
11
0
03 Nov 2020
Sharpness-Aware Minimization for Efficiently Improving Generalization
International Conference on Learning Representations (ICLR), 2020
Pierre Foret
Ariel Kleiner
H. Mobahi
Behnam Neyshabur
AAML
961
1,800
0
03 Oct 2020
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap
Lingxi Xie
Xin Chen
Kaifeng Bi
Longhui Wei
Yuhui Xu
...
Lanfei Wang
Anxiang Xiao
Jianlong Chang
Xiaopeng Zhang
Qi Tian
ViT
472
121
0
04 Aug 2020
Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution
Hadi Pouransari
Mojan Javaheripi
Vinay Sharma
Oncel Tuzel
215
5
0
30 Jun 2020
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