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Revisiting Self-Supervised Visual Representation Learning

Revisiting Self-Supervised Visual Representation Learning

25 January 2019
Alexander Kolesnikov
Xiaohua Zhai
Lucas Beyer
    SSL
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Papers citing "Revisiting Self-Supervised Visual Representation Learning"

50 / 357 papers shown
Title
CLAR: Contrastive Learning of Auditory Representations
CLAR: Contrastive Learning of Auditory Representations
Haider Al-Tahan
Y. Mohsenzadeh
SSL
118
56
0
19 Oct 2020
Improving Transformation Invariance in Contrastive Representation
  Learning
Improving Transformation Invariance in Contrastive Representation Learning
Adam Foster
Rattana Pukdee
Tom Rainforth
55
23
0
19 Oct 2020
Self-supervised Geometric Features Discovery via Interpretable Attention
  for Vehicle Re-Identification and Beyond
Self-supervised Geometric Features Discovery via Interpretable Attention for Vehicle Re-Identification and Beyond
Ming Li
Xinming Huang
Ziming Zhang
SSL
35
42
0
19 Oct 2020
Representation Learning via Invariant Causal Mechanisms
Representation Learning via Invariant Causal Mechanisms
Jovana Mitrović
Brian McWilliams
Jacob Walker
Lars Buesing
Charles Blundell
CML
OOD
SSL
31
247
0
15 Oct 2020
Self-Supervised Domain Adaptation with Consistency Training
Self-Supervised Domain Adaptation with Consistency Training
Liang Xiao
J. Xu
D. Zhao
Z. Wang
L. Wang
Y. Nie
B. Dai
31
14
0
15 Oct 2020
Which Model to Transfer? Finding the Needle in the Growing Haystack
Which Model to Transfer? Finding the Needle in the Growing Haystack
Cédric Renggli
André Susano Pinto
Luka Rimanic
J. Puigcerver
C. Riquelme
Ce Zhang
Mario Lucic
34
25
0
13 Oct 2020
Domain Agnostic Learning for Unbiased Authentication
Domain Agnostic Learning for Unbiased Authentication
Jian Liang
Yuren Cao
Shuang Li
Bing Bai
Hao Li
Fei Wang
Kun Bai
OOD
26
0
0
11 Oct 2020
Representation learning from videos in-the-wild: An object-centric
  approach
Representation learning from videos in-the-wild: An object-centric approach
Rob Romijnders
Aravindh Mahendran
Michael Tschannen
Josip Djolonga
Marvin Ritter
N. Houlsby
Mario Lucic
OCL
SSL
31
8
0
06 Oct 2020
CO2: Consistent Contrast for Unsupervised Visual Representation Learning
CO2: Consistent Contrast for Unsupervised Visual Representation Learning
Chen Wei
Huiyu Wang
Wei Shen
Alan Yuille
SSL
36
62
0
05 Oct 2020
Conditional Negative Sampling for Contrastive Learning of Visual
  Representations
Conditional Negative Sampling for Contrastive Learning of Visual Representations
Mike Wu
Milan Mossé
Chengxu Zhuang
Daniel L. K. Yamins
Noah D. Goodman
SSL
36
77
0
05 Oct 2020
Hard Negative Mixing for Contrastive Learning
Hard Negative Mixing for Contrastive Learning
Yannis Kalantidis
Mert Bulent Sariyildiz
Noé Pion
Philippe Weinzaepfel
Diane Larlus
SSL
55
630
0
02 Oct 2020
Understanding Self-supervised Learning with Dual Deep Networks
Understanding Self-supervised Learning with Dual Deep Networks
Yuandong Tian
Lantao Yu
Xinlei Chen
Surya Ganguli
SSL
13
78
0
01 Oct 2020
Joint Contrastive Learning with Infinite Possibilities
Joint Contrastive Learning with Infinite Possibilities
Qi Cai
Yu Wang
Yingwei Pan
Ting Yao
Tao Mei
VLM
22
60
0
30 Sep 2020
Adversarial Semi-Supervised Multi-Domain Tracking
Adversarial Semi-Supervised Multi-Domain Tracking
Kourosh Meshgi
Maryam Sadat Mirzaei
14
1
0
30 Sep 2020
Label-Efficient Multi-Task Segmentation using Contrastive Learning
Label-Efficient Multi-Task Segmentation using Contrastive Learning
J. Iwasawa
Y. Hirano
Yohei Sugawara
16
9
0
23 Sep 2020
SelfAugment: Automatic Augmentation Policies for Self-Supervised
  Learning
SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning
Colorado Reed
Sean L. Metzger
A. Srinivas
Trevor Darrell
Kurt Keutzer
SSL
27
49
0
16 Sep 2020
Completely Self-Supervised Crowd Counting via Distribution Matching
Completely Self-Supervised Crowd Counting via Distribution Matching
Deepak Babu Sam
Abhinav Agarwalla
Jimmy Joseph
Vishwanath A. Sindagi
R. Venkatesh Babu
Vishal M. Patel
SSL
22
27
0
14 Sep 2020
A Survey on Machine Learning from Few Samples
A Survey on Machine Learning from Few Samples
Jiang Lu
Pinghua Gong
Jieping Ye
Jianwei Zhang
Changshu Zhang
19
47
0
06 Sep 2020
Don't miss the Mismatch: Investigating the Objective Function Mismatch
  for Unsupervised Representation Learning
Don't miss the Mismatch: Investigating the Objective Function Mismatch for Unsupervised Representation Learning
Bonifaz Stuhr
Jürgen Brauer
32
1
0
04 Sep 2020
A Framework For Contrastive Self-Supervised Learning And Designing A New
  Approach
A Framework For Contrastive Self-Supervised Learning And Designing A New Approach
William Falcon
Kyunghyun Cho
SSL
21
103
0
31 Aug 2020
Self-supervised Video Representation Learning by Uncovering
  Spatio-temporal Statistics
Self-supervised Video Representation Learning by Uncovering Spatio-temporal Statistics
Jiangliu Wang
Jianbo Jiao
Linchao Bao
Shengfeng He
Wei Liu
Yunhui Liu
SSL
AI4TS
21
55
0
31 Aug 2020
Self-Supervised Learning for Large-Scale Unsupervised Image Clustering
Self-Supervised Learning for Large-Scale Unsupervised Image Clustering
Evgenii Zheltonozhskii
Chaim Baskin
A. Bronstein
A. Mendelson
SSL
14
10
0
24 Aug 2020
Optimization of Graph Neural Networks with Natural Gradient Descent
Optimization of Graph Neural Networks with Natural Gradient Descent
M. Izadi
Yihao Fang
R. Stevenson
Lizhen Lin
GNN
24
41
0
21 Aug 2020
Action-Based Representation Learning for Autonomous Driving
Action-Based Representation Learning for Autonomous Driving
Yi Xiao
Felipe Codevilla
C. Pal
Antonio M. López
25
10
0
21 Aug 2020
A Systematic Survey of Regularization and Normalization in GANs
A Systematic Survey of Regularization and Normalization in GANs
Ziqiang Li
Muhammad Usman
Rentuo Tao
Pengfei Xia
Xintian Wu
Huanhuan Chen
Bin Li
27
50
0
19 Aug 2020
Jointly Fine-Tuning "BERT-like" Self Supervised Models to Improve
  Multimodal Speech Emotion Recognition
Jointly Fine-Tuning "BERT-like" Self Supervised Models to Improve Multimodal Speech Emotion Recognition
Shamane Siriwardhana
Andrew Reis
Rivindu Weerasekera
Suranga Nanayakkara
21
112
0
15 Aug 2020
Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion
Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion
Igor Vasiljevic
Vitor Campagnolo Guizilini
Rares Ambrus
Sudeep Pillai
Wolfram Burgard
G. Shakhnarovich
Adrien Gaidon
SSL
MDE
36
23
0
15 Aug 2020
Adversarial Knowledge Transfer from Unlabeled Data
Adversarial Knowledge Transfer from Unlabeled Data
Akash Gupta
Yikang Shen
S. Paul
Jianming Zhang
Amit K. Roy-Chowdhury
18
0
0
13 Aug 2020
Co-training for On-board Deep Object Detection
Co-training for On-board Deep Object Detection
Gabriel Villalonga
A. Peña
VLM
ObjD
23
4
0
12 Aug 2020
Exploring Relations in Untrimmed Videos for Self-Supervised Learning
Exploring Relations in Untrimmed Videos for Self-Supervised Learning
Dezhao Luo
Bo Fang
Yu Zhou
Yucan Zhou
Dayan Wu
Weiping Wang
33
21
0
06 Aug 2020
Learning Visual Representations with Caption Annotations
Learning Visual Representations with Caption Annotations
Mert Bulent Sariyildiz
J. Perez
Diane Larlus
VLM
SSL
21
159
0
04 Aug 2020
LoCo: Local Contrastive Representation Learning
LoCo: Local Contrastive Representation Learning
Yuwen Xiong
Mengye Ren
R. Urtasun
SSL
DRL
37
69
0
04 Aug 2020
Predicting What You Already Know Helps: Provable Self-Supervised
  Learning
Predicting What You Already Know Helps: Provable Self-Supervised Learning
Jason D. Lee
Qi Lei
Nikunj Saunshi
Jiacheng Zhuo
SSL
19
186
0
03 Aug 2020
Self-supervised Learning of Point Clouds via Orientation Estimation
Self-supervised Learning of Point Clouds via Orientation Estimation
Omid Poursaeed
Tianxing Jiang
Quintessa Qiao
N. Xu
Vladimir G. Kim
3DPC
SSL
11
116
0
01 Aug 2020
Uncovering the structure of clinical EEG signals with self-supervised
  learning
Uncovering the structure of clinical EEG signals with self-supervised learning
Hubert J. Banville
O. Chehab
Aapo Hyvarinen
D. Engemann
Alexandre Gramfort
36
195
0
31 Jul 2020
flexgrid2vec: Learning Efficient Visual Representations Vectors
flexgrid2vec: Learning Efficient Visual Representations Vectors
Ali Hamdi
D. Kim
Flora D. Salim
SSL
GNN
30
7
0
30 Jul 2020
What My Motion tells me about Your Pose: A Self-Supervised Monocular 3D
  Vehicle Detector
What My Motion tells me about Your Pose: A Self-Supervised Monocular 3D Vehicle Detector
Cédric Picron
Punarjay Chakravarty
Tom Roussel
Tinne Tuytelaars
19
0
0
29 Jul 2020
Representation Learning with Video Deep InfoMax
Representation Learning with Video Deep InfoMax
R. Devon Hjelm
Philip Bachman
SSL
MDE
26
28
0
27 Jul 2020
Contrastive Visual-Linguistic Pretraining
Contrastive Visual-Linguistic Pretraining
Lei Shi
Kai Shuang
Shijie Geng
Peng Su
Zhengkai Jiang
Peng Gao
Zuohui Fu
Gerard de Melo
Sen Su
VLM
SSL
CLIP
33
29
0
26 Jul 2020
Self-supervised Learning for Large-scale Item Recommendations
Self-supervised Learning for Large-scale Item Recommendations
Tiansheng Yao
Xinyang Yi
D. Cheng
Felix X. Yu
Ting-Li Chen
...
Lichan Hong
Ed H. Chi
S. Tjoa
Jieqi Kang
Evan Ettinger
SSL
25
48
0
25 Jul 2020
Real-World Multi-Domain Data Applications for Generalizations to
  Clinical Settings
Real-World Multi-Domain Data Applications for Generalizations to Clinical Settings
Nooshin Mojab
Vahid Noroozi
Darvin Yi
Manoj Prabhakar Nallabothula
Abdullah Aleem
Phillip S. Yu
J. Hallak
OOD
17
7
0
24 Jul 2020
Transferred Discrepancy: Quantifying the Difference Between
  Representations
Transferred Discrepancy: Quantifying the Difference Between Representations
Yunzhen Feng
Runtian Zhai
Di He
Liwei Wang
Bin Dong
DRL
17
11
0
24 Jul 2020
Reliable Label Bootstrapping for Semi-Supervised Learning
Reliable Label Bootstrapping for Semi-Supervised Learning
Paul Albert
Diego Ortego
Eric Arazo
Noel E. O'Connor
Kevin McGuinness
SSL
26
5
0
23 Jul 2020
CrossTransformers: spatially-aware few-shot transfer
CrossTransformers: spatially-aware few-shot transfer
Carl Doersch
Ankush Gupta
Andrew Zisserman
ViT
215
330
0
22 Jul 2020
Exploiting Temporal Coherence for Self-Supervised One-shot Video
  Re-identification
Exploiting Temporal Coherence for Self-Supervised One-shot Video Re-identification
Dripta S. Raychaudhuri
Amit K. Roy-Chowdhury
19
11
0
21 Jul 2020
Learning from Extrinsic and Intrinsic Supervisions for Domain
  Generalization
Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization
Shujun Wang
Lequan Yu
Caizi Li
Chi-Wing Fu
Pheng-Ann Heng
OOD
29
191
0
18 Jul 2020
CSI: Novelty Detection via Contrastive Learning on Distributionally
  Shifted Instances
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances
Jihoon Tack
Sangwoo Mo
Jongheon Jeong
Jinwoo Shin
OODD
11
588
0
16 Jul 2020
Automatic Image Labelling at Pixel Level
Automatic Image Labelling at Pixel Level
Xiang Zhang
Wei Zhang
Jinye Peng
Jianping Fan
VLM
SSeg
15
2
0
15 Jul 2020
Tackling the Problem of Limited Data and Annotations in Semantic
  Segmentation
Tackling the Problem of Limited Data and Annotations in Semantic Segmentation
Ahmadreza Jeddi
19
0
0
14 Jul 2020
Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection
Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection
Cong Chen
Shouyang Dong
Ye Tian
K. Cao
Li Liu
Yuanhao Guo
28
28
0
13 Jul 2020
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