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2009.06962
Cited By
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup
15 September 2020
Jang-Hyun Kim
Wonho Choo
Hyun Oh Song
AAML
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Papers citing
"Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup"
50 / 82 papers shown
Title
Language-Driven Dual Style Mixing for Single-Domain Generalized Object Detection
Hongda Qin
Xiao Lu
Zhiyong Wei
Yihong Cao
Kailun Yang
Ningjiang Chen
ObjD
MLLM
VLM
31
0
0
12 May 2025
MDIT: A Model-free Data Interpolation Method for Diverse Instruction Tuning
Yangning Li
Zihua Lan
Lv Qingsong
Hai-Tao Zheng
Hai-Tao Zheng
31
0
0
09 Apr 2025
MIDAS: Mixing Ambiguous Data with Soft Labels for Dynamic Facial Expression Recognition
Ryosuke Kawamura
Hideaki Hayashi
Noriko Takemura
Hajime Nagahara
CVBM
3DH
65
4
0
28 Feb 2025
QMaxViT-Unet+: A Query-Based MaxViT-Unet with Edge Enhancement for Scribble-Supervised Segmentation of Medical Images
Thien B. Nguyen-Tat
Hoang-An Vo
Phuoc-Sang Dang
77
0
0
17 Feb 2025
Adaptive Mix for Semi-Supervised Medical Image Segmentation
Zhiqiang Shen
Peng Cao
Junming Su
Jinzhu Yang
Osmar R. Zaiane
51
0
0
31 Jul 2024
SUMix: Mixup with Semantic and Uncertain Information
Huafeng Qin
Xin Jin
Hongyu Zhu
Hongchao Liao
M. El-Yacoubi
Xinbo Gao
UQCV
34
6
0
10 Jul 2024
EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision
Yiting Dong
Xiang He
Guobin Shen
Dongcheng Zhao
Yang Li
Yi Zeng
43
0
0
29 May 2024
StarLKNet: Star Mixup with Large Kernel Networks for Palm Vein Identification
Xin Jin
Hongyu Zhu
M. El-Yacoubi
Hongchao Liao
Huafeng Qin
Yun Jiang
39
6
0
21 May 2024
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
109
22
0
15 May 2024
NTK-Guided Few-Shot Class Incremental Learning
Jingren Liu
Zhong Ji
Yanwei Pang
YunLong Yu
CLL
39
3
0
19 Mar 2024
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods
A. Mumuni
F. Mumuni
70
5
0
13 Mar 2024
For Better or For Worse? Learning Minimum Variance Features With Label Augmentation
Muthuraman Chidambaram
Rong Ge
AAML
18
0
0
10 Feb 2024
Pushing Boundaries: Mixup's Influence on Neural Collapse
Quinn Fisher
Haoming Meng
Vardan Papyan
AAML
UQCV
44
5
0
09 Feb 2024
ContextMix: A context-aware data augmentation method for industrial visual inspection systems
Hyungmin Kim
Donghun Kim
Pyunghwan Ahn
Sungho Suh
Hansang Cho
Junmo Kim
29
2
0
18 Jan 2024
Tailoring Mixup to Data for Calibration
Quentin Bouniot
Pavlo Mozharovskyi
Florence dÁlché-Buc
61
1
0
02 Nov 2023
AMPLIFY:Attention-based Mixup for Performance Improvement and Label Smoothing in Transformer
Leixin Yang
Yu Xiang
28
0
0
22 Sep 2023
PanoMixSwap Panorama Mixing via Structural Swapping for Indoor Scene Understanding
Yu-Cheng Hsieh
Cheng Sun
Suraj Dengale
Min Sun
3DPC
36
1
0
18 Sep 2023
MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene Classification
Junjie Zhu
Yiying Li
Chunping Qiu
Ke Yang
Naiyang Guan
Xiaodong Yi
32
6
0
17 Sep 2023
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration
Ran Liu
Sahil Khose
Jingyun Xiao
Lakshmi Sathidevi
Keerthan Ramnath
Z. Kira
Eva L. Dyer
34
3
0
28 Aug 2023
R-Mixup: Riemannian Mixup for Biological Networks
Xuan Kan
Zimu Li
Hejie Cui
Yue Yu
Ran Xu
Shaojun Yu
Zilong Zhang
Ying Guo
Carl Yang
35
6
0
05 Jun 2023
Infinite Class Mixup
Thomas Mensink
Pascal Mettes
29
2
0
17 May 2023
Revisiting Single-gated Mixtures of Experts
Amelie Royer
I. Karmanov
Andrii Skliar
B. Bejnordi
Tijmen Blankevoort
MoE
MoMe
38
6
0
11 Apr 2023
Robustmix: Improving Robustness by Regularizing the Frequency Bias of Deep Nets
Jonas Ngnawé
Marianne Abémgnigni Njifon
Jonathan Heek
Yann N. Dauphin
OOD
21
4
0
06 Apr 2023
Vision Transformer-based Model for Severity Quantification of Lung Pneumonia Using Chest X-ray Images
Bouthaina Slika
Fadi Dornaika
H. Merdji
K. Hammoudi
ViT
MedIm
26
0
0
18 Mar 2023
Unproportional mosaicing
Vojtech Molek
P. Hurtík
Pavel Vlasánek
D. Adamczyk
24
1
0
03 Mar 2023
DC4L: Distribution Shift Recovery via Data-Driven Control for Deep Learning Models
Vivian Lin
Kuk Jin Jang
Souradeep Dutta
Michele Caprio
O. Sokolsky
Insup Lee
OOD
33
6
0
20 Feb 2023
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification
Omid Nejati Manzari
Hamid Ahmadabadi
Hossein Kashiani
S. B. Shokouhi
Ahmad Ayatollahi
ViT
MedIm
34
179
0
19 Feb 2023
Learning a Consensus Sub-Network with Polarization Regularization and One Pass Training
Xiaoying Zhi
Varun Babbar
P. Sun
Fran Silavong
Ruibo Shi
Sean J. Moran
Sean Moran
42
1
0
17 Feb 2023
ZScribbleSeg: Zen and the Art of Scribble Supervised Medical Image Segmentation
Kecheng Zhang
Xiahai Zhuang
24
8
0
12 Jan 2023
SMMix: Self-Motivated Image Mixing for Vision Transformers
Yonghong Tian
Mingbao Lin
Zhihang Lin
Yuxin Zhang
Rongrong Ji
Rongrong Ji
53
10
0
26 Dec 2022
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
Chengtai Cao
Fan Zhou
Yurou Dai
Jianping Wang
Kunpeng Zhang
AAML
24
28
0
21 Dec 2022
Expeditious Saliency-guided Mix-up through Random Gradient Thresholding
Minh-Long Luu
Zeyi Huang
Eric P. Xing
Yong Jae Lee
Haohan Wang
AAML
34
1
0
09 Dec 2022
LUMix: Improving Mixup by Better Modelling Label Uncertainty
Shuyang Sun
Jieneng Chen
Ruifei He
Alan Yuille
Philip Torr
Song Bai
UQCV
NoLa
21
5
0
29 Nov 2022
Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentation
Zixian Su
Kai Yao
Xi Yang
Qiufeng Wang
Jie Sun
Kaizhu Huang
35
63
0
27 Nov 2022
Local Magnification for Data and Feature Augmentation
Kun He
Chang-rui Liu
Stephen Lin
J. Hopcroft
24
2
0
15 Nov 2022
Soft Augmentation for Image Classification
Yang Liu
Shen Yan
Laura Leal-Taixé
James Hays
Deva Ramanan
29
11
0
09 Nov 2022
FIXED: Frustratingly Easy Domain Generalization with Mixup
Wang Lu
Jindong Wang
Han Yu
Lei Huang
Xiang Zhang
Yiqiang Chen
Xingxu Xie
26
6
0
07 Nov 2022
SelecMix: Debiased Learning by Contradicting-pair Sampling
Inwoo Hwang
Sangjun Lee
Yunhyeok Kwak
Seong Joon Oh
Damien Teney
Jin-Hwa Kim
Byoung-Tak Zhang
OOD
331
28
0
04 Nov 2022
SADT: Combining Sharpness-Aware Minimization with Self-Distillation for Improved Model Generalization
Masud An Nur Islam Fahim
Jani Boutellier
40
0
0
01 Nov 2022
SAGE: Saliency-Guided Mixup with Optimal Rearrangements
A. Ma
Nikita Dvornik
Ran Zhang
Leila Pishdad
Konstantinos G. Derpanis
Afsaneh Fazly
34
6
0
31 Oct 2022
ScoreMix: A Scalable Augmentation Strategy for Training GANs with Limited Data
Jie Cao
Mandi Luo
Junchi Yu
Mingmin Yang
Ran He
35
4
0
27 Oct 2022
Decoupled Mixup for Generalized Visual Recognition
Haozhe Liu
Wentian Zhang
Jinheng Xie
Haoqian Wu
Bing Li
Ziqi Zhang
Yuexiang Li
Yawen Huang
Guohao Li
Yefeng Zheng
22
1
0
26 Oct 2022
Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup
Muthuraman Chidambaram
Xiang Wang
Chenwei Wu
Rong Ge
MLT
11
8
0
24 Oct 2022
TokenMixup: Efficient Attention-guided Token-level Data Augmentation for Transformers
Hyeong Kyu Choi
Joonmyung Choi
Hyunwoo J. Kim
ViT
31
35
0
14 Oct 2022
Token-Label Alignment for Vision Transformers
Han Xiao
Wenzhao Zheng
Zhengbiao Zhu
Jie Zhou
Jiwen Lu
21
4
0
12 Oct 2022
MIXCODE: Enhancing Code Classification by Mixup-Based Data Augmentation
Zeming Dong
Qiang Hu
Yuejun Guo
Maxime Cordy
Mike Papadakis
Zhenya Zhang
Yves Le Traon
Jianjun Zhao
31
8
0
06 Oct 2022
Mixup for Test-Time Training
Bochao Zhang
Rui Shao
Jingda Du
Pc Yuen
TTA
22
1
0
04 Oct 2022
DoubleMix: Simple Interpolation-Based Data Augmentation for Text Classification
Hui Chen
Wei Han
Diyi Yang
Soujanya Poria
15
12
0
12 Sep 2022
Data Augmentation by Selecting Mixed Classes Considering Distance Between Classes
Shungo Fujii
Yasunori Ishii
Kazuki Kozuka
Tsubasa Hirakawa
Takayoshi Yamashita
H. Fujiyoshi
44
2
0
12 Sep 2022
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective
Chanwoo Park
Sangdoo Yun
Sanghyuk Chun
AAML
21
32
0
21 Aug 2022
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