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AutoMix: Unveiling the Power of Mixup for Stronger Classifiers

AutoMix: Unveiling the Power of Mixup for Stronger Classifiers

24 March 2021
Zicheng Liu
Siyuan Li
Di Wu
Jianzhu Guo
Zhiyuan Chen
Lirong Wu
Stan Z. Li
ArXivPDFHTML

Papers citing "AutoMix: Unveiling the Power of Mixup for Stronger Classifiers"

18 / 18 papers shown
Title
Adaptive Hardness-driven Augmentation and Alignment Strategies for Multi-Source Domain Adaptations
Adaptive Hardness-driven Augmentation and Alignment Strategies for Multi-Source Domain Adaptations
Yang Yuxiang
Zeng Xinyi
Zeng Pinxian
Zu Chen
Yan Binyu
Zhou Jiliu
Wang Yan
29
0
0
02 Jan 2025
Don't Fear Peculiar Activation Functions: EUAF and Beyond
Don't Fear Peculiar Activation Functions: EUAF and Beyond
Qianchao Wang
Shijun Zhang
Dong Zeng
Zhaoheng Xie
Hengtao Guo
Feng-Lei Fan
Tieyong Zeng
21
3
0
12 Jul 2024
Kolmogorov-Arnold Convolutions: Design Principles and Empirical Studies
Kolmogorov-Arnold Convolutions: Design Principles and Empirical Studies
Ivan Drokin
35
19
0
01 Jul 2024
StarLKNet: Star Mixup with Large Kernel Networks for Palm Vein
  Identification
StarLKNet: Star Mixup with Large Kernel Networks for Palm Vein Identification
Xin Jin
Hongyu Zhu
M. El-Yacoubi
Hongchao Liao
Huafeng Qin
Yun Jiang
33
6
0
21 May 2024
A Comprehensive Survey on Data Augmentation
A Comprehensive Survey on Data Augmentation
Zaitian Wang
Pengfei Wang
Kunpeng Liu
Pengyang Wang
Yanjie Fu
Chang-Tien Lu
Charu Aggarwal
Jian Pei
Yuanchun Zhou
ViT
92
19
0
15 May 2024
Boosting Semi-Supervised 2D Human Pose Estimation by Revisiting Data Augmentation and Consistency Training
Boosting Semi-Supervised 2D Human Pose Estimation by Revisiting Data Augmentation and Consistency Training
Huayi Zhou
Mukun Luo
Fei Jiang
Yue Ding
Hongtao Lu
Kui Jia
42
0
0
18 Feb 2024
Tailoring Mixup to Data for Calibration
Tailoring Mixup to Data for Calibration
Quentin Bouniot
Pavlo Mozharovskyi
Florence dÁlché-Buc
53
1
0
02 Nov 2023
Representation Synthesis by Probabilistic Many-Valued Logic Operation in
  Self-Supervised Learning
Representation Synthesis by Probabilistic Many-Valued Logic Operation in Self-Supervised Learning
Hiroki Nakamura
Masashi Okada
T. Taniguchi
SSL
NAI
16
0
0
08 Sep 2023
Expeditious Saliency-guided Mix-up through Random Gradient Thresholding
Expeditious Saliency-guided Mix-up through Random Gradient Thresholding
Minh-Long Luu
Zeyi Huang
Eric P. Xing
Yong Jae Lee
Haohan Wang
AAML
11
1
0
09 Dec 2022
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive
  Learning
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning
Cheng Tan
Zhangyang Gao
Lirong Wu
Yongjie Xu
Jun-Xiong Xia
Siyuan Li
Stan Z. Li
25
102
0
24 Jun 2022
Harnessing Hard Mixed Samples with Decoupled Regularizer
Harnessing Hard Mixed Samples with Decoupled Regularizer
Zicheng Liu
Siyuan Li
Ge Wang
Cheng Tan
Lirong Wu
Stan Z. Li
48
17
0
21 Mar 2022
ResNet strikes back: An improved training procedure in timm
ResNet strikes back: An improved training procedure in timm
Ross Wightman
Hugo Touvron
Hervé Jégou
AI4TS
198
477
0
01 Oct 2021
TF-Blender: Temporal Feature Blender for Video Object Detection
TF-Blender: Temporal Feature Blender for Video Object Detection
Yiming Cui
Liqi Yan
Zhiwen Cao
Dongfang Liu
ViT
48
97
0
12 Aug 2021
Co-learning: Learning from Noisy Labels with Self-supervision
Co-learning: Learning from Noisy Labels with Self-supervision
Cheng Tan
Jun-Xiong Xia
Lirong Wu
Stan Z. Li
NoLa
65
114
0
05 Aug 2021
Survey: Image Mixing and Deleting for Data Augmentation
Survey: Image Mixing and Deleting for Data Augmentation
Humza Naveed
Saeed Anwar
Munawar Hayat
Kashif Javed
Ajmal Mian
26
75
0
13 Jun 2021
Imperceptible Adversarial Examples for Fake Image Detection
Imperceptible Adversarial Examples for Fake Image Detection
Quanyu Liao
Yuezun Li
Xiaoqiang Guo
Bin Kong
Yingxin Zhu
Jianlei Liu
Zhuqing Jiang
Qi Song
Xi Wu
AAML
85
33
0
03 Jun 2021
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity
Jang-Hyun Kim
Wonho Choo
Hosan Jeong
Hyun Oh Song
195
173
0
05 Feb 2021
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
261
10,106
0
16 Nov 2016
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