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Semi-Supervised and Unsupervised Deep Visual Learning: A Survey

Semi-Supervised and Unsupervised Deep Visual Learning: A Survey

24 August 2022
Yanbei Chen
Massimiliano Mancini
Xiatian Zhu
Zeynep Akata
ArXivPDFHTML

Papers citing "Semi-Supervised and Unsupervised Deep Visual Learning: A Survey"

50 / 222 papers shown
Title
Audio-Visual Instance Discrimination with Cross-Modal Agreement
Audio-Visual Instance Discrimination with Cross-Modal Agreement
Pedro Morgado
Nuno Vasconcelos
Ishan Misra
SSL
57
271
0
27 Apr 2020
OpenMix: Reviving Known Knowledge for Discovering Novel Visual
  Categories in An Open World
OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in An Open World
Zhun Zhong
Linchao Zhu
Zhiming Luo
Shaozi Li
Yi Yang
N. Sebe
VLM
CLL
42
114
0
12 Apr 2020
Density-Aware Graph for Deep Semi-Supervised Visual Recognition
Density-Aware Graph for Deep Semi-Supervised Visual Recognition
Suichan Li
B. Liu
Dongdong Chen
Qi Chu
Lu Yuan
Nenghai Yu
48
30
0
30 Mar 2020
Semi-Supervised Semantic Segmentation with Cross-Consistency Training
Semi-Supervised Semantic Segmentation with Cross-Consistency Training
Yassine Ouali
C´eline Hudelot
Myriam Tami
98
720
0
19 Mar 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
423
3,397
0
09 Mar 2020
Learning Representations by Predicting Bags of Visual Words
Learning Representations by Predicting Bags of Visual Words
Spyros Gidaris
Andrei Bursuc
N. Komodakis
P. Pérez
Matthieu Cord
SSL
74
117
0
27 Feb 2020
Generalized Product Quantization Network for Semi-supervised Image
  Retrieval
Generalized Product Quantization Network for Semi-supervised Image Retrieval
Young Kyun Jang
N. Cho
107
38
0
26 Feb 2020
A survey on Semi-, Self- and Unsupervised Learning for Image
  Classification
A survey on Semi-, Self- and Unsupervised Learning for Image Classification
Lars Schmarje
M. Santarossa
Simon-Martin Schroder
Reinhard Koch
SSL
VLM
37
164
0
20 Feb 2020
Universal Domain Adaptation through Self Supervision
Universal Domain Adaptation through Self Supervision
Kuniaki Saito
Donghyun Kim
Stan Sclaroff
Kate Saenko
OOD
TTA
60
315
0
19 Feb 2020
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
212
10,591
0
17 Feb 2020
Learning Robust Representations via Multi-View Information Bottleneck
Learning Robust Representations via Multi-View Information Bottleneck
Marco Federici
Anjan Dutta
Patrick Forré
Nate Kushman
Zeynep Akata
SLR
32
253
0
17 Feb 2020
Automatically Discovering and Learning New Visual Categories with
  Ranking Statistics
Automatically Discovering and Learning New Visual Categories with Ranking Statistics
Kai Han
Sylvestre-Alvise Rebuffi
Sébastien Ehrhardt
Andrea Vedaldi
Andrew Zisserman
SSL
29
181
0
13 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
255
18,607
0
13 Feb 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and
  Confidence
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Kihyuk Sohn
David Berthelot
Chun-Liang Li
Zizhao Zhang
Nicholas Carlini
E. D. Cubuk
Alexey Kurakin
Han Zhang
Colin Raffel
AAML
140
3,524
0
21 Jan 2020
CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency
CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency
Yun-Chun Chen
Yen-Yu Lin
Ming-Hsuan Yang
Jia-Bin Huang
81
276
0
09 Jan 2020
Adversarial AutoAugment
Adversarial AutoAugment
Xinyu Zhang
Qiang-qiang Wang
Jian Zhang
Zhaobai Zhong
AAML
64
197
0
24 Dec 2019
End-to-End Learning of Visual Representations from Uncurated
  Instructional Videos
End-to-End Learning of Visual Representations from Uncurated Instructional Videos
Antoine Miech
Jean-Baptiste Alayrac
Lucas Smaira
Ivan Laptev
Josef Sivic
Andrew Zisserman
VGen
SSL
100
710
0
13 Dec 2019
ClusterFit: Improving Generalization of Visual Representations
ClusterFit: Improving Generalization of Visual Representations
Xueting Yan
Ishan Misra
Abhinav Gupta
Deepti Ghadiyaram
D. Mahajan
SSL
VLM
79
132
0
06 Dec 2019
Self-Supervised Learning of Pretext-Invariant Representations
Self-Supervised Learning of Pretext-Invariant Representations
Ishan Misra
Laurens van der Maaten
SSL
VLM
74
1,448
0
04 Dec 2019
Self-Supervised Learning by Cross-Modal Audio-Video Clustering
Self-Supervised Learning by Cross-Modal Audio-Video Clustering
Humam Alwassel
D. Mahajan
Bruno Korbar
Lorenzo Torresani
Guohao Li
Du Tran
SSL
73
429
0
28 Nov 2019
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and
  Augmentation Anchoring
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring
David Berthelot
Nicholas Carlini
E. D. Cubuk
Alexey Kurakin
Kihyuk Sohn
Han Zhang
Colin Raffel
78
676
0
21 Nov 2019
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
113
12,007
0
13 Nov 2019
Self-labelling via simultaneous clustering and representation learning
Self-labelling via simultaneous clustering and representation learning
Yuki M. Asano
Christian Rupprecht
Andrea Vedaldi
SSL
82
769
0
13 Nov 2019
Adversarial Transformations for Semi-Supervised Learning
Adversarial Transformations for Semi-Supervised Learning
Teppei Suzuki
Ikuro Sato
26
13
0
13 Nov 2019
Self-training with Noisy Student improves ImageNet classification
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie
Minh-Thang Luong
Eduard H. Hovy
Quoc V. Le
NoLa
223
2,380
0
11 Nov 2019
Continual Unsupervised Representation Learning
Continual Unsupervised Representation Learning
Dushyant Rao
Francesco Visin
Andrei A. Rusu
Yee Whye Teh
Razvan Pascanu
R. Hadsell
BDL
CLL
SSL
DRL
29
259
0
31 Oct 2019
RandAugment: Practical automated data augmentation with a reduced search
  space
RandAugment: Practical automated data augmentation with a reduced search space
E. D. Cubuk
Barret Zoph
Jonathon Shlens
Quoc V. Le
MQ
185
3,458
0
30 Sep 2019
Unsupervised Domain Adaptation through Self-Supervision
Unsupervised Domain Adaptation through Self-Supervision
Yu Sun
Eric Tzeng
Trevor Darrell
Alexei A. Efros
OOD
SSL
51
238
0
26 Sep 2019
Dual Student: Breaking the Limits of the Teacher in Semi-supervised
  Learning
Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning
Zhanghan Ke
Daoye Wang
Qiong Yan
Jimmy S. J. Ren
Rynson W. H. Lau
25
214
0
03 Sep 2019
Learning to Discover Novel Visual Categories via Deep Transfer
  Clustering
Learning to Discover Novel Visual Categories via Deep Transfer Clustering
Kai Han
Andrea Vedaldi
Andrew Zisserman
SSL
68
297
0
26 Aug 2019
VL-BERT: Pre-training of Generic Visual-Linguistic Representations
VL-BERT: Pre-training of Generic Visual-Linguistic Representations
Weijie Su
Xizhou Zhu
Yue Cao
Bin Li
Lewei Lu
Furu Wei
Jifeng Dai
VLM
MLLM
SSL
124
1,657
0
22 Aug 2019
LXMERT: Learning Cross-Modality Encoder Representations from
  Transformers
LXMERT: Learning Cross-Modality Encoder Representations from Transformers
Hao Hao Tan
Joey Tianyi Zhou
VLM
MLLM
205
2,467
0
20 Aug 2019
Unicoder-VL: A Universal Encoder for Vision and Language by Cross-modal
  Pre-training
Unicoder-VL: A Universal Encoder for Vision and Language by Cross-modal Pre-training
Gen Li
Nan Duan
Yuejian Fang
Ming Gong
Daxin Jiang
Ming Zhou
SSL
VLM
MLLM
186
898
0
16 Aug 2019
Semi-Supervised Semantic Segmentation with High- and Low-level
  Consistency
Semi-Supervised Semantic Segmentation with High- and Low-level Consistency
Sudhanshu Mittal
Maxim Tatarchenko
Thomas Brox
SSL
47
374
0
15 Aug 2019
Multiview-Consistent Semi-Supervised Learning for 3D Human Pose
  Estimation
Multiview-Consistent Semi-Supervised Learning for 3D Human Pose Estimation
Rahul Mitra
N. B. Gundavarapu
Abhishek Sharma
Arjun Jain
3DH
118
59
0
14 Aug 2019
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning
Eric Arazo
Diego Ortego
Paul Albert
Noel E. O'Connor
Kevin McGuinness
88
826
0
08 Aug 2019
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for
  Vision-and-Language Tasks
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
Jiasen Lu
Dhruv Batra
Devi Parikh
Stefan Lee
SSL
VLM
197
3,659
0
06 Aug 2019
On Mutual Information Maximization for Representation Learning
On Mutual Information Maximization for Representation Learning
Michael Tschannen
Josip Djolonga
Paul Kishan Rubenstein
Sylvain Gelly
Mario Lucic
SSL
145
490
0
31 Jul 2019
Self-supervised Domain Adaptation for Computer Vision Tasks
Self-supervised Domain Adaptation for Computer Vision Tasks
Jiaolong Xu
Liang Xiao
Antonio M. López
OOD
SSL
VLM
28
133
0
25 Jul 2019
Large Scale Adversarial Representation Learning
Large Scale Adversarial Representation Learning
Jeff Donahue
Karen Simonyan
SSL
104
542
0
04 Jul 2019
Demystifying Inter-Class Disentanglement
Demystifying Inter-Class Disentanglement
Aviv Gabbay
Yedid Hoshen
DRL
29
56
0
27 Jun 2019
Contrastive Multiview Coding
Contrastive Multiview Coding
Yonglong Tian
Dilip Krishnan
Phillip Isola
SSL
131
2,385
0
13 Jun 2019
HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million
  Narrated Video Clips
HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips
Antoine Miech
Dimitri Zhukov
Jean-Baptiste Alayrac
Makarand Tapaswi
Ivan Laptev
Josef Sivic
VGen
91
1,192
0
07 Jun 2019
Learning Representations by Maximizing Mutual Information Across Views
Learning Representations by Maximizing Mutual Information Across Views
Philip Bachman
R. Devon Hjelm
William Buchwalter
SSL
157
1,463
0
03 Jun 2019
Unlabeled Data Improves Adversarial Robustness
Unlabeled Data Improves Adversarial Robustness
Y. Carmon
Aditi Raghunathan
Ludwig Schmidt
Percy Liang
John C. Duchi
98
752
0
31 May 2019
Robustness to Adversarial Perturbations in Learning from Incomplete Data
Robustness to Adversarial Perturbations in Learning from Incomplete Data
Amir Najafi
S. Maeda
Masanori Koyama
Takeru Miyato
OOD
64
130
0
24 May 2019
Population Based Augmentation: Efficient Learning of Augmentation Policy
  Schedules
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules
Daniel Ho
Eric Liang
Ion Stoica
Pieter Abbeel
Xi Chen
54
402
0
14 May 2019
CutMix: Regularization Strategy to Train Strong Classifiers with
  Localizable Features
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
581
4,735
0
13 May 2019
S4L: Self-Supervised Semi-Supervised Learning
S4L: Self-Supervised Semi-Supervised Learning
Xiaohua Zhai
Avital Oliver
Alexander Kolesnikov
Lucas Beyer
SSL
VLM
90
790
0
09 May 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning
MixMatch: A Holistic Approach to Semi-Supervised Learning
David Berthelot
Nicholas Carlini
Ian Goodfellow
Nicolas Papernot
Avital Oliver
Colin Raffel
123
3,009
0
06 May 2019
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