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Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup

Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup

15 September 2020
Jang-Hyun Kim
Wonho Choo
Hyun Oh Song
    AAML
ArXivPDFHTML

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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Infinite Class Mixup
Thomas Mensink
Pascal Mettes
29
2
0
17 May 2023
Revisiting Single-gated Mixtures of Experts
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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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