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2003.05438
Cited By
Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning
11 March 2020
Zhiqiang Shen
Zechun Liu
Zhuang Liu
Marios Savvides
Trevor Darrell
Eric P. Xing
OCL
SSL
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Papers citing
"Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning"
29 / 29 papers shown
Title
Contrastive Learning with Synthetic Positives
Dewen Zeng
Yawen Wu
Xinrong Hu
Xiaowei Xu
Yiyu Shi
SyDa
SSL
54
1
0
30 Aug 2024
Understanding Hyperbolic Metric Learning through Hard Negative Sampling
Yun Yue
Fangzhou Lin
Guanyi Mou
Ziming Zhang
SSL
30
1
0
23 Apr 2024
uaMix-MAE: Efficient Tuning of Pretrained Audio Transformers with Unsupervised Audio Mixtures
Afrina Tabassum
Dung N. Tran
Trung D. Q. Dang
Ismini Lourentzou
K. Koishida
47
0
0
14 Mar 2024
LeOCLR: Leveraging Original Images for Contrastive Learning of Visual Representations
Mohammad Alkhalefi
Georgios Leontidis
Mingjun Zhong
63
2
0
11 Mar 2024
Representation Synthesis by Probabilistic Many-Valued Logic Operation in Self-Supervised Learning
Hiroki Nakamura
Masashi Okada
T. Taniguchi
SSL
NAI
28
0
0
08 Sep 2023
Hallucination Improves the Performance of Unsupervised Visual Representation Learning
Jing Wu
Jennifer Hobbs
N. Hovakimyan
SSL
32
21
0
22 Jul 2023
Vision Learners Meet Web Image-Text Pairs
Bingchen Zhao
Quan Cui
Hao Wu
Osamu Yoshie
Cheng Yang
Oisin Mac Aodha
VLM
24
5
0
17 Jan 2023
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
A picture of the space of typical learnable tasks
Rahul Ramesh
J. Mao
Itay Griniasty
Rubing Yang
H. Teoh
M. Transtrum
J. Sethna
Pratik Chaudhari
SSL
DRL
36
5
0
31 Oct 2022
i-MAE: Are Latent Representations in Masked Autoencoders Linearly Separable?
Kevin Zhang
Zhiqiang Shen
20
8
0
20 Oct 2022
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps
Kuilin Chen
Chi-Guhn Lee
SSL
40
3
0
07 Oct 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
Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing?
Keshigeyan Chandrasegaran
Ngoc-Trung Tran
Yunqing Zhao
Ngai-man Cheung
86
41
0
29 Jun 2022
Universum-inspired Supervised Contrastive Learning
Aiyang Han
Chuanxing Geng
Songcan Chen
SSL
29
3
0
22 Apr 2022
Harnessing Hard Mixed Samples with Decoupled Regularizer
Zicheng Liu
Siyuan Li
Ge Wang
Cheng Tan
Lirong Wu
Stan Z. Li
59
18
0
21 Mar 2022
Overcoming the Domain Gap in Neural Action Representations
Semih Günel
Florian Aymanns
S. Honari
Pavan Ramdya
Pascal Fua
29
3
0
02 Dec 2021
Boosting Discriminative Visual Representation Learning with Scenario-Agnostic Mixup
Siyuan Li
Zicheng Liu
Zedong Wang
Di Wu
Zihan Liu
Stan Z. Li
35
26
0
30 Nov 2021
TransMix: Attend to Mix for Vision Transformers
Jieneng Chen
Shuyang Sun
Ju He
Philip H. S. Torr
Alan Yuille
S. Bai
ViT
28
103
0
18 Nov 2021
Improving Tail-Class Representation with Centroid Contrastive Learning
A. M. H. Tiong
Junnan Li
Guosheng Lin
Boyang Albert Li
Caiming Xiong
S. Hoi
VLM
31
13
0
19 Oct 2021
Representational Continuity for Unsupervised Continual Learning
Divyam Madaan
Jaehong Yoon
Yuanchun Li
Yunxin Liu
Sung Ju Hwang
CLL
SSL
66
111
0
13 Oct 2021
PASS: An ImageNet replacement for self-supervised pretraining without humans
Yuki M. Asano
Christian Rupprecht
Andrew Zisserman
Andrea Vedaldi
VLM
SSL
21
57
0
27 Sep 2021
Deep Bregman Divergence for Contrastive Learning of Visual Representations
Mina Rezaei
Farzin Soleymani
B. Bischl
Shekoofeh Azizi
SSL
50
16
0
15 Sep 2021
Improving Contrastive Learning by Visualizing Feature Transformation
Rui Zhu
Bingchen Zhao
Jingen Liu
Zhenglong Sun
C. L. P. Chen
SSL
96
78
0
06 Aug 2021
A Random CNN Sees Objects: One Inductive Bias of CNN and Its Applications
Yun Cao
Jianxin Wu
SSL
31
26
0
17 Jun 2021
Survey: Image Mixing and Deleting for Data Augmentation
Humza Naveed
Saeed Anwar
Munawar Hayat
Kashif Javed
Ajmal Mian
38
78
0
13 Jun 2021
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration
Zhiqiang Shen
Zechun Liu
Jie Qin
Lei Huang
Kwang-Ting Cheng
Marios Savvides
UQCV
SSL
MQ
248
22
0
17 Feb 2021
Center-wise Local Image Mixture For Contrastive Representation Learning
Hao Li
Xiaopeng Zhang
H. Xiong
18
8
0
05 Nov 2020
MixCo: Mix-up Contrastive Learning for Visual Representation
Sungnyun Kim
Gihun Lee
Sangmin Bae
Seyoung Yun
SSL
112
80
0
13 Oct 2020
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,375
0
09 Mar 2020
1