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A Simple Data Mixing Prior for Improving Self-Supervised Learning
Computer Vision and Pattern Recognition (CVPR), 2022
15 June 2022
Sucheng Ren
Huiyu Wang
Zhengqi Gao
Shengfeng He
Alan Yuille
Yuyin Zhou
Cihang Xie
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Papers citing
"A Simple Data Mixing Prior for Improving Self-Supervised Learning"
27 / 27 papers shown
Maximally Useful and Minimally Redundant: The Key to Self Supervised Learning for Imbalanced Data
Yash Kumar Sharma
Vineet Nair
Wilson Naik
SSL
164
0
0
10 Sep 2025
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
Wenxuan Li
Yaoyao Liu
Zongwei Zhou
MedIm
315
16
0
20 Jan 2025
Gen-SIS: Generative Self-augmentation Improves Self-supervised Learning
Varun Belagali
Srikar Yellapragada
Alexandros Graikos
S. Kapse
Zilinghan Li
Tarak Nandi
Ravi K. Madduri
Prateek Prasanna
Joel H. Saltz
Dimitris Samaras
DiffM
298
2
0
02 Dec 2024
POA: Pre-training Once for Models of All Sizes
European Conference on Computer Vision (ECCV), 2024
Yingying Zhang
Xin Guo
Jiangwei Lao
Lei Yu
Lixiang Ru
Jian Wang
Guo Ye
Huimei He
Jingdong Chen
Ming Yang
428
2
0
02 Aug 2024
Occam's Razor for Self Supervised Learning: What is Sufficient to Learn Good Representations?
Mark Ibrahim
David Klindt
Randall Balestriero
SSL
318
7
1
15 Jun 2024
Understanding Hyperbolic Metric Learning through Hard Negative Sampling
Yun Yue
Fangzhou Lin
Guanyi Mou
Ziming Zhang
SSL
283
11
0
23 Apr 2024
Adversarial Semi-Supervised Domain Adaptation for Semantic Segmentation: A New Role for Labeled Target Samples
Marwa Kechaou
Mokhtar Z. Alaya
Romain Hérault
Gilles Gasso
GAN
218
0
0
12 Dec 2023
Representation Synthesis by Probabilistic Many-Valued Logic Operation in Self-Supervised Learning
IEEE Open Journal of Signal Processing (IEEE Open J. Signal Process.), 2023
Hiroki Nakamura
Masashi Okada
T. Taniguchi
SSL
NAI
265
0
0
08 Sep 2023
Unleash Model Potential: Bootstrapped Meta Self-supervised Learning
Wenwen Qiang
Changwen Zheng
Jingyao Wang
Changwen Zheng
SSL
203
1
0
28 Aug 2023
SG-Former: Self-guided Transformer with Evolving Token Reallocation
IEEE International Conference on Computer Vision (ICCV), 2023
Sucheng Ren
Xingyi Yang
Songhua Liu
Xinchao Wang
ViT
283
62
0
23 Aug 2023
RankMixup: Ranking-Based Mixup Training for Network Calibration
IEEE International Conference on Computer Vision (ICCV), 2023
Jongyoun Noh
Hyekang Park
Junghyup Lee
Bumsub Ham
UQCV
206
18
0
23 Aug 2023
Self-supervised Learning of Rotation-invariant 3D Point Set Features using Transformer and its Self-distillation
Computer Vision and Image Understanding (CVIU), 2023
T. Furuya
Zhoujie Chen
Ryutarou Ohbuchi
Zhenzhong Kuang
3DPC
303
4
0
09 Aug 2023
Prompted Contrast with Masked Motion Modeling: Towards Versatile 3D Action Representation Learning
ACM Multimedia (ACM MM), 2023
Jiahang Zhang
Lilang Lin
Jiaying Liu
SSL
213
31
0
08 Aug 2023
Inter-Instance Similarity Modeling for Contrastive Learning
Chen Shen
Dawei Liu
Hao Tang
Zhe Qu
Jianxin Wang
SSL
273
10
0
21 Jun 2023
Recent Advances of Local Mechanisms in Computer Vision: A Survey and Outlook of Recent Work
Qiangchang Wang
Yilong Yin
300
1
0
02 Jun 2023
Infinite Class Mixup
British Machine Vision Conference (BMVC), 2023
Thomas Mensink
Pascal Mettes
285
3
0
17 May 2023
Analyzing Effects of Mixed Sample Data Augmentation on Model Interpretability
Neural Networks (Neural Netw.), 2023
Soyoun Won
Sung-Ho Bae
Seong Tae Kim
215
2
0
26 Mar 2023
Actionlet-Dependent Contrastive Learning for Unsupervised Skeleton-Based Action Recognition
Computer Vision and Pattern Recognition (CVPR), 2023
Lilang Lin
Jiahang Zhang
Jiaying Liu
147
82
0
20 Mar 2023
Unsupervised Learning on a DIET: Datum IndEx as Target Free of Self-Supervision, Reconstruction, Projector Head
Randall Balestriero
301
4
0
20 Feb 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
ACM Computing Surveys (ACM CSUR), 2022
Chengtai Cao
Fan Zhou
Yurou Dai
Jianping Wang
Kunpeng Zhang
AAML
313
51
0
21 Dec 2022
Contrastive pretraining for semantic segmentation is robust to noisy positive pairs
Sebastian Gerard
Josephine Sullivan
198
1
0
24 Nov 2022
Supervised Contrastive Learning on Blended Images for Long-tailed Recognition
Minki Jeong
Changick Kim
172
1
0
22 Nov 2022
Max Pooling with Vision Transformers reconciles class and shape in weakly supervised semantic segmentation
European Conference on Computer Vision (ECCV), 2022
Simone Rossetti
Damiano Zappia
Marta Sanzari
M. Schaerf
F. Pirri
ViT
320
78
0
31 Oct 2022
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective
Neural Information Processing Systems (NeurIPS), 2022
Chanwoo Park
Sangdoo Yun
Sanghyuk Chun
AAML
207
39
0
21 Aug 2022
Boosting Discriminative Visual Representation Learning with Scenario-Agnostic Mixup
Siyuan Li
Zicheng Liu
Zedong Wang
Di Wu
Zihan Liu
Stan Z. Li
318
29
0
30 Nov 2021
Survey: Image Mixing and Deleting for Data Augmentation
Engineering applications of artificial intelligence (EAAI), 2021
Humza Naveed
Saeed Anwar
Munawar Hayat
Kashif Javed
Ajmal Mian
331
107
0
13 Jun 2021
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCL
SSL
1.2K
4,653
0
17 Jun 2020
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