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2102.03065
Cited By
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity
International Conference on Learning Representations (ICLR), 2021
5 February 2021
Jang-Hyun Kim
Wonho Choo
Hosan Jeong
Hyun Oh Song
Re-assign community
ArXiv (abs)
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Github (103★)
Papers citing
"Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity"
50 / 119 papers shown
Selective Mixup for Debiasing Question Selection in Computerized Adaptive Testing
Mi Tian
Kun Zhang
Fei Liu
Jinglong Li
Yuxin Liao
Chenxi Bai
Zhengtao Tan
Le Wu
Richang Hong
359
0
0
24 Dec 2025
MergeMix: A Unified Augmentation Paradigm for Visual and Multi-Modal Understanding
Xin Jin
Siyuan Li
Siyong Jian
Kai Yu
Huan Wang
229
5
0
27 Oct 2025
IPF-RDA: An Information-Preserving Framework for Robust Data Augmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Suorong Yang
Hongchao Yang
Suhan Guo
Jian Zhao
Furao Shen
AAML
191
3
0
20 Sep 2025
Scan-and-Print: Patch-level Data Summarization and Augmentation for Content-aware Layout Generation in Poster Design
International Joint Conference on Artificial Intelligence (IJCAI), 2024
HsiaoYuan Hsu
Yuxin Peng
DiffM
285
2
0
27 May 2025
MedCL: Learning Consistent Anatomy Distribution for Scribble-supervised Medical Image Segmentation
Ke Zhang
Vishal M. Patel
309
2
0
28 Mar 2025
Playing the Fool: Jailbreaking LLMs and Multimodal LLMs with Out-of-Distribution Strategy
Computer Vision and Pattern Recognition (CVPR), 2025
Joonhyun Jeong
Seyun Bae
Yeonsung Jung
Jaeryong Hwang
Eunho Yang
AAML
473
25
0
26 Mar 2025
Context-guided Responsible Data Augmentation with Diffusion Models
Khawar Islam
Naveed Akhtar
414
7
0
12 Mar 2025
GenMix: Effective Data Augmentation with Generative Diffusion Model Image Editing
Khawar Islam
M. Zaheer
Arif Mahmood
Karthik Nandakumar
Naveed Akhtar
DiffM
757
11
0
03 Dec 2024
Decoupled Data Augmentation for Improving Image Classification
Ruoxin Chen
Zhe Wang
Ke-Yue Zhang
Shuang Wu
Jiamu Sun
Shouli Wang
Taiping Yao
Shouhong Ding
DiffM
417
6
0
29 Oct 2024
Student-Oriented Teacher Knowledge Refinement for Knowledge Distillation
ACM Multimedia (MM), 2024
Yaxin Peng
Yaomin Huang
Haokun Zhu
Jinsong Fan
Guixu Zhang
302
2
0
27 Sep 2024
The Overfocusing Bias of Convolutional Neural Networks: A Saliency-Guided Regularization Approach
David Bertoin
Eduardo Hugo Sanchez
Mehdi Zouitine
Emmanuel Rachelson
287
3
0
25 Sep 2024
Region Mixup
Saptarshi Saha
Utpal Garain
153
0
0
23 Sep 2024
Adaptive Mix for Semi-Supervised Medical Image Segmentation
Zhiqiang Shen
Peng Cao
Junming Su
Jinzhu Yang
Osmar R. Zaiane
454
2
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
391
15
0
10 Jul 2024
Few-Shot Keyword Spotting from Mixed Speech
Junming Yuan
Ying Shi
Lantian Li
D. Wang
A. Hamdulla
390
3
0
05 Jul 2024
Acoustic Feature Mixup for Balanced Multi-aspect Pronunciation Assessment
Heejin Do
Wonjun Lee
Gary Geunbae Lee
282
3
0
22 Jun 2024
ModelMix: A New Model-Mixup Strategy to Minimize Vicinal Risk across Tasks for Few-scribble based Cardiac Segmentation
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
Ke Zhang
Vishal M. Patel
246
2
0
19 Jun 2024
Few-Shot Recognition via Stage-Wise Retrieval-Augmented Finetuning
Tian Liu
Huixin Zhang
Shubham Parashar
Shu Kong
412
2
0
17 Jun 2024
Mixup Augmentation with Multiple Interpolations
Lifeng Shen
Jincheng Yu
Hansi Yang
James T. Kwok
366
0
0
03 Jun 2024
RC-Mixup: A Data Augmentation Strategy against Noisy Data for Regression Tasks
Seonghyeon Hwang
Minsu Kim
Steven Euijong Whang
NoLa
369
7
0
28 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
475
8
0
21 May 2024
A Comprehensive Survey on Data Augmentation
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
Zaitian Wang
Pengfei Wang
Kunpeng Liu
Pengyang Wang
Yanjie Fu
Chang-Tien Lu
Charu Aggarwal
Jian Pei
Yuanchun Zhou
ViT
789
93
0
15 May 2024
PCLMix: Weakly Supervised Medical Image Segmentation via Pixel-Level Contrastive Learning and Dynamic Mix Augmentation
International Conference on Intelligent Computing (ICIC), 2024
Yu Lei
Haolun Luo
Lituan Wang
Zhenwei Zhang
Lei Zhang
368
8
0
10 May 2024
You Only Need Half: Boosting Data Augmentation by Using Partial Content
Juntao Hu
Yuan Wu
211
1
0
05 May 2024
DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models
Khawar Islam
Muhammad Zaigham Zaheer
Arif Mahmood
Karthik Nandakumar
DiffM
319
103
0
05 Apr 2024
Prompt Learning via Meta-Regularization
Jinyoung Park
Juyeon Ko
Hyunwoo J. Kim
VLM
VPVLM
360
45
0
01 Apr 2024
TransformMix: Learning Transformation and Mixing Strategies from Data
Tsz-Him Cheung
Dit-Yan Yeung
190
1
0
19 Mar 2024
SIRST-5K: Exploring Massive Negatives Synthesis with Self-supervised Learning for Robust Infrared Small Target Detection
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024
Yahao Lu
Yu-Hsiang Lin
Han Wu
Xiaoyu Xian
Yukai Shi
Liang Lin
327
30
0
08 Mar 2024
SA-MixNet: Structure-aware Mixup and Invariance Learning for Scribble-supervised Road Extraction in Remote Sensing Images
Jie Feng
Hao Huang
Junpeng Zhang
Weisheng Dong
Dingwen Zhang
Licheng Jiao
292
6
0
03 Mar 2024
Privacy-Preserving Language Model Inference with Instance Obfuscation
Yixiang Yao
Fei Wang
Yu Yang
Muhao Chen
239
12
0
13 Feb 2024
ScribFormer: Transformer Makes CNN Work Better for Scribble-based Medical Image Segmentation
Zihan Li
Yuan Zheng
Dandan Shan
Shuzhou Yang
Qingde Li
Beizhan Wang
Yuan-ting Zhang
Qingqi Hong
Dinggang Shen
ViT
MedIm
296
97
0
03 Feb 2024
Catch-Up Mix: Catch-Up Class for Struggling Filters in CNN
AAAI Conference on Artificial Intelligence (AAAI), 2024
Minsoo Kang
Minkoo Kang
Suhyun Kim
153
7
0
24 Jan 2024
Exploring Color Invariance through Image-Level Ensemble Learning
Yunpeng Gong
Jiaquan Li
Lifei Chen
Min Jiang
348
27
0
19 Jan 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
279
7
0
18 Jan 2024
Adversarial AutoMixup
Huafeng Qin
Xin Jin
Yun Jiang
M. El-Yacoubi
Xinbo Gao
AAML
342
18
0
19 Dec 2023
Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization
Tianrui Jia
Haoyang Li
Cheng Yang
Tao Tao
Chuan Shi
OOD
294
36
0
18 Dec 2023
TiMix: Text-aware Image Mixing for Effective Vision-Language Pre-training
AAAI Conference on Artificial Intelligence (AAAI), 2023
Chaoya Jiang
Wei Ye
Haiyang Xu
Qinghao Ye
Mingshi Yan
Ji Zhang
Shikun Zhang
CLIP
VLM
424
6
0
14 Dec 2023
ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open-Vocabulary Object Detection
AAAI Conference on Artificial Intelligence (AAAI), 2023
Joonhyun Jeong
Geondo Park
Jayeon Yoo
Hyungsik Jung
Heesu Kim
VLM
ObjD
487
18
0
12 Dec 2023
Evaluating the Utility of Model Explanations for Model Development
Shawn Im
Jacob Andreas
Yilun Zhou
XAI
FAtt
ELM
360
2
0
10 Dec 2023
RandMSAugment: A Mixed-Sample Augmentation for Limited-Data Scenarios
Swarna Kamlam Ravindran
Carlo Tomasi
334
0
0
25 Nov 2023
Anchor Data Augmentation
Neural Information Processing Systems (NeurIPS), 2023
Nora Schneider
Shirin Goshtasbpour
Fernando Pérez-Cruz
359
6
0
12 Nov 2023
Embedding Space Interpolation Beyond Mini-Batch, Beyond Pairs and Beyond Examples
Neural Information Processing Systems (NeurIPS), 2023
Shashanka Venkataramanan
Ewa Kijak
Laurent Amsaleg
Yannis Avrithis
248
7
0
09 Nov 2023
Towards Open-World Co-Salient Object Detection with Generative Uncertainty-aware Group Selective Exchange-Masking
Yang Wu
Shenglong Hu
Huihui Song
Kaihua Zhang
Bo Liu
Dong Liu
321
1
0
16 Oct 2023
MAC: ModAlity Calibration for Object Detection
Yutian Lei
Jun Liu
Dong Huang
ObjD
358
2
0
14 Oct 2023
IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers
Neural Information Processing Systems (NeurIPS), 2023
Zhenglin Huang
Xianan Bao
Na Zhang
Qingqi Zhang
Xiaomei Tu
Biao Wu
Xi Yang
730
18
0
07 Oct 2023
On the Equivalence of Graph Convolution and Mixup
Xiaotian Han
Hanqing Zeng
Yu Chen
Shaoliang Nie
Jingzhou Liu
...
Karthik Abinav Sankararaman
Song Jiang
Madian Khabsa
Qifan Wang
Helen Zhou
374
1
0
29 Sep 2023
Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning
Neural Information Processing Systems (NeurIPS), 2023
B. U. Demirel
Christian Holz
AI4TS
283
38
0
23 Sep 2023
Mixup-Augmented Meta-Learning for Sample-Efficient Fine-Tuning of Protein Simulators
Jingbang Chen
Yian Wang
Xingwei Qu
Shuangjia Zheng
Yao-Chun Yang
Hao Dong
Jie Fu
247
0
0
29 Aug 2023
The Effects of Mixed Sample Data Augmentation are Class Dependent
Haeil Lee
Han S. Lee
Junmo Kim
376
1
0
18 Jul 2023
GuidedMixup: An Efficient Mixup Strategy Guided by Saliency Maps
AAAI Conference on Artificial Intelligence (AAAI), 2023
Minsoo Kang
Suhyun Kim
AAML
180
31
0
29 Jun 2023
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