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Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation
  Learning

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"

23 / 23 papers shown
Title
Contrastive Learning with Synthetic Positives
Contrastive Learning with Synthetic Positives
Dewen Zeng
Yawen Wu
Xinrong Hu
Xiaowei Xu
Yiyu Shi
SyDa
SSL
46
1
0
30 Aug 2024
Understanding Hyperbolic Metric Learning through Hard Negative Sampling
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
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
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
Representation Synthesis by Probabilistic Many-Valued Logic Operation in Self-Supervised Learning
Hiroki Nakamura
Masashi Okada
T. Taniguchi
SSL
NAI
23
0
0
08 Sep 2023
Vision Learners Meet Web Image-Text Pairs
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 picture of the space of typical learnable tasks
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
4
0
31 Oct 2022
i-MAE: Are Latent Representations in Masked Autoencoders Linearly
  Separable?
i-MAE: Are Latent Representations in Masked Autoencoders Linearly Separable?
Kevin Zhang
Zhiqiang Shen
20
8
0
20 Oct 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
16
32
0
21 Aug 2022
Revisiting Label Smoothing and Knowledge Distillation Compatibility:
  What was Missing?
Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing?
Keshigeyan Chandrasegaran
Ngoc-Trung Tran
Yunqing Zhao
Ngai-man Cheung
80
41
0
29 Jun 2022
Universum-inspired Supervised Contrastive Learning
Universum-inspired Supervised Contrastive Learning
Aiyang Han
Chuanxing Geng
Songcan Chen
SSL
21
3
0
22 Apr 2022
Harnessing Hard Mixed Samples with Decoupled Regularizer
Harnessing Hard Mixed Samples with Decoupled Regularizer
Zicheng Liu
Siyuan Li
Ge Wang
Cheng Tan
Lirong Wu
Stan Z. Li
53
18
0
21 Mar 2022
Overcoming the Domain Gap in Neural Action Representations
Overcoming the Domain Gap in Neural Action Representations
Semih Günel
Florian Aymanns
S. Honari
Pavan Ramdya
Pascal Fua
22
3
0
02 Dec 2021
Boosting Discriminative Visual Representation Learning with
  Scenario-Agnostic Mixup
Boosting Discriminative Visual Representation Learning with Scenario-Agnostic Mixup
Siyuan Li
Zicheng Liu
Zedong Wang
Di Wu
Zihan Liu
Stan Z. Li
30
26
0
30 Nov 2021
Improving Tail-Class Representation with Centroid Contrastive Learning
Improving Tail-Class Representation with Centroid Contrastive Learning
A. M. H. Tiong
Junnan Li
Guosheng Lin
Boyang Albert Li
Caiming Xiong
S. Hoi
VLM
23
13
0
19 Oct 2021
Representational Continuity for Unsupervised Continual Learning
Representational Continuity for Unsupervised Continual Learning
Divyam Madaan
Jaehong Yoon
Yuanchun Li
Yunxin Liu
Sung Ju Hwang
CLL
SSL
64
111
0
13 Oct 2021
Deep Bregman Divergence for Contrastive Learning of Visual
  Representations
Deep Bregman Divergence for Contrastive Learning of Visual Representations
Mina Rezaei
Farzin Soleymani
B. Bischl
Shekoofeh Azizi
SSL
44
16
0
15 Sep 2021
A Random CNN Sees Objects: One Inductive Bias of CNN and Its
  Applications
A Random CNN Sees Objects: One Inductive Bias of CNN and Its Applications
Yun Cao
Jianxin Wu
SSL
23
26
0
17 Jun 2021
Survey: Image Mixing and Deleting for Data Augmentation
Survey: Image Mixing and Deleting for Data Augmentation
Humza Naveed
Saeed Anwar
Munawar Hayat
Kashif Javed
Ajmal Mian
30
78
0
13 Jun 2021
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural
  Networks via Guided Distribution Calibration
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
246
22
0
17 Feb 2021
Center-wise Local Image Mixture For Contrastive Representation Learning
Center-wise Local Image Mixture For Contrastive Representation Learning
Hao Li
Xiaopeng Zhang
H. Xiong
8
8
0
05 Nov 2020
MixCo: Mix-up Contrastive Learning for Visual Representation
MixCo: Mix-up Contrastive Learning for Visual Representation
Sungnyun Kim
Gihun Lee
Sangmin Bae
Seyoung Yun
SSL
106
80
0
13 Oct 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,369
0
09 Mar 2020
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