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Unsupervised Feature Learning via Non-Parametric Instance-level
  Discrimination

Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination

5 May 2018
Zhirong Wu
Yuanjun Xiong
Stella X. Yu
Dahua Lin
    SSL
ArXivPDFHTML

Papers citing "Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination"

50 / 1,921 papers shown
Title
For self-supervised learning, Rationality implies generalization,
  provably
For self-supervised learning, Rationality implies generalization, provably
Yamini Bansal
Gal Kaplun
Boaz Barak
OOD
SSL
58
22
0
16 Oct 2020
On the surprising similarities between supervised and self-supervised
  models
On the surprising similarities between supervised and self-supervised models
Robert Geirhos
Kantharaju Narayanappa
Benjamin Mitzkus
Matthias Bethge
Felix Wichmann
Wieland Brendel
OOD
SSL
DRL
77
46
0
16 Oct 2020
Self-training for Few-shot Transfer Across Extreme Task Differences
Self-training for Few-shot Transfer Across Extreme Task Differences
Cheng Perng Phoo
B. Hariharan
SSL
27
106
0
15 Oct 2020
Fully Unsupervised Person Re-identification viaSelective Contrastive
  Learning
Fully Unsupervised Person Re-identification viaSelective Contrastive Learning
Bo Pang
Deming Zhai
Junjun Jiang
Xianming Liu
SSL
6
2
0
15 Oct 2020
Self-Supervised Ranking for Representation Learning
Self-Supervised Ranking for Representation Learning
Ali Varamesh
Ali Diba
Tinne Tuytelaars
Luc Van Gool
SSL
AI4TS
26
9
0
14 Oct 2020
Back to the Future: Cycle Encoding Prediction for Self-supervised
  Contrastive Video Representation Learning
Back to the Future: Cycle Encoding Prediction for Self-supervised Contrastive Video Representation Learning
Xinyu Yang
Majid Mirmehdi
T. Burghardt
27
4
0
14 Oct 2020
CAPT: Contrastive Pre-Training for Learning Denoised Sequence
  Representations
CAPT: Contrastive Pre-Training for Learning Denoised Sequence Representations
Fuli Luo
Pengcheng Yang
Shicheng Li
Xuancheng Ren
Xu Sun
VLM
SSL
18
16
0
13 Oct 2020
Contrastive Representation Learning: A Framework and Review
Contrastive Representation Learning: A Framework and Review
Phúc H. Lê Khắc
Graham Healy
Alan F. Smeaton
SSL
AI4TS
184
687
0
10 Oct 2020
Watch, read and lookup: learning to spot signs from multiple supervisors
Watch, read and lookup: learning to spot signs from multiple supervisors
Liliane Momeni
Gül Varol
Samuel Albanie
Triantafyllos Afouras
Andrew Zisserman
21
43
0
08 Oct 2020
Unsupervised Representation Learning by InvariancePropagation
Unsupervised Representation Learning by InvariancePropagation
Feng Wang
Huaping Liu
Di Guo
F. Sun
SSL
41
33
0
07 Oct 2020
Support-set bottlenecks for video-text representation learning
Support-set bottlenecks for video-text representation learning
Mandela Patrick
Po-Yao (Bernie) Huang
Yuki M. Asano
Florian Metze
Alexander G. Hauptmann
João Henriques
Andrea Vedaldi
22
244
0
06 Oct 2020
Shot in the Dark: Few-Shot Learning with No Base-Class Labels
Shot in the Dark: Few-Shot Learning with No Base-Class Labels
Z. Chen
Subhransu Maji
Erik Learned-Miller
SSL
VLM
21
20
0
06 Oct 2020
Pathological Visual Question Answering
Pathological Visual Question Answering
Xuehai He
Zhuo Cai
Wenlan Wei
Yichen Zhang
Luntian Mou
Eric Xing
P. Xie
75
24
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
A Simple Framework for Uncertainty in Contrastive Learning
A Simple Framework for Uncertainty in Contrastive Learning
Mike Wu
Noah D. Goodman
UQCV
28
18
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
BalaGAN: Image Translation Between Imbalanced Domains via Cross-Modal
  Transfer
BalaGAN: Image Translation Between Imbalanced Domains via Cross-Modal Transfer
Or Patashnik
Dov Danon
Hao Zhang
Daniel Cohen-Or
6
13
0
05 Oct 2020
Robust High-dimensional Memory-augmented Neural Networks
Robust High-dimensional Memory-augmented Neural Networks
G. Karunaratne
Manuel Schmuck
Manuel Le Gallo
G. Cherubini
Luca Benini
Abu Sebastian
Abbas Rahimi
21
99
0
05 Oct 2020
EqCo: Equivalent Rules for Self-supervised Contrastive Learning
EqCo: Equivalent Rules for Self-supervised Contrastive Learning
Benjin Zhu
Junqiang Huang
Zeming Li
Xiangyu Zhang
Jian Sun
SSL
22
13
0
05 Oct 2020
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts
Xudong Wang
Long Lian
Zhongqi Miao
Ziwei Liu
Stella X. Yu
36
380
0
05 Oct 2020
Consensus Clustering With Unsupervised Representation Learning
Consensus Clustering With Unsupervised Representation Learning
Jayanth Reddy Regatti
A. Deshmukh
Eren Manavoglu
Ürün Dogan
OOD
SSL
28
20
0
03 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
53
628
0
02 Oct 2020
Open-Set Hypothesis Transfer with Semantic Consistency
Open-Set Hypothesis Transfer with Semantic Consistency
Zeyu Feng
Chang Xu
Dacheng Tao
16
12
0
01 Oct 2020
Driver Anomaly Detection: A Dataset and Contrastive Learning Approach
Driver Anomaly Detection: A Dataset and Contrastive Learning Approach
Okan Kopuklu
Ji-ming Zheng
Hang Xu
Gerhard Rigoll
27
79
0
30 Sep 2020
CoKe: Localized Contrastive Learning for Robust Keypoint Detection
CoKe: Localized Contrastive Learning for Robust Keypoint Detection
Yutong Bai
Angtian Wang
Adam Kortylewski
Alan Yuille
32
14
0
29 Sep 2020
Towards Effective Context for Meta-Reinforcement Learning: an Approach
  based on Contrastive Learning
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning
Haotian Fu
Hongyao Tang
Jianye Hao
Chong Chen
Xidong Feng
Dong Li
Wulong Liu
OffRL
35
51
0
29 Sep 2020
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval
Wenhan Xiong
Xiang Lorraine Li
Srini Iyer
Jingfei Du
Patrick Lewis
...
Yashar Mehdad
Wen-tau Yih
Sebastian Riedel
Douwe Kiela
Barlas Oğuz
37
184
0
27 Sep 2020
3D-FUTURE: 3D Furniture shape with TextURE
3D-FUTURE: 3D Furniture shape with TextURE
Huan Fu
Rongfei Jia
Lin Gao
Biwei Huang
Binqiang Zhao
Stephen J. Maybank
Dacheng Tao
3DV
47
247
0
21 Sep 2020
DVG-Face: Dual Variational Generation for Heterogeneous Face Recognition
DVG-Face: Dual Variational Generation for Heterogeneous Face Recognition
Chaoyou Fu
Xiang Wu
Yibo Hu
Huaibo Huang
Ran He
CVBM
13
83
0
20 Sep 2020
MoPro: Webly Supervised Learning with Momentum Prototypes
MoPro: Webly Supervised Learning with Momentum Prototypes
Junnan Li
Caiming Xiong
Guosheng Lin
26
95
0
17 Sep 2020
AAG: Self-Supervised Representation Learning by Auxiliary Augmentation
  with GNT-Xent Loss
AAG: Self-Supervised Representation Learning by Auxiliary Augmentation with GNT-Xent Loss
Yanlun Tu
Jianxing Feng
Yang Yang
SSL
18
1
0
17 Sep 2020
TreeGAN: Incorporating Class Hierarchy into Image Generation
TreeGAN: Incorporating Class Hierarchy into Image Generation
Ruisi Zhang
Luntian Mou
P. Xie
GAN
24
1
0
16 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
Removing the Background by Adding the Background: Towards Background
  Robust Self-supervised Video Representation Learning
Removing the Background by Adding the Background: Towards Background Robust Self-supervised Video Representation Learning
Jinpeng Wang
Yuting Gao
Ke Li
Yiqi Lin
A. J. Ma
Hao Cheng
Pai Peng
Feiyue Huang
Rongrong Ji
Xing Sun
SSL
49
96
0
12 Sep 2020
Enhancing Unsupervised Video Representation Learning by Decoupling the
  Scene and the Motion
Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion
Jinpeng Wang
Yuting Gao
Ke Li
Jianguo Hu
Xinyang Jiang
Xiao-Wei Guo
Rongrong Ji
Xing Sun
37
62
0
12 Sep 2020
Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised
  Approach for Feature Embedding
Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised Approach for Feature Embedding
Binh X. Nguyen
Binh Duc Nguyen
G. Carneiro
Erman Tjiputra
Quang-Dieu Tran
Thanh-Toan Do
27
10
0
09 Sep 2020
A Self-Supervised Gait Encoding Approach with Locality-Awareness for 3D
  Skeleton Based Person Re-Identification
A Self-Supervised Gait Encoding Approach with Locality-Awareness for 3D Skeleton Based Person Re-Identification
Haocong Rao
Siqi Wang
Xiping Hu
Mingkui Tan
Yi Guo
Jun Cheng
Xinwang Liu
Bin Hu
3DH
30
66
0
05 Sep 2020
Unsupervised Feature Learning by Autoencoder and Prototypical
  Contrastive Learning for Hyperspectral Classification
Unsupervised Feature Learning by Autoencoder and Prototypical Contrastive Learning for Hyperspectral Classification
Zeyu Cao
Xiaorun Li
Liaoying Zhao
SSL
13
31
0
02 Sep 2020
A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and
  Perspectives
A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives
Alexander Mathis
Steffen Schneider
Jessy Lauer
Mackenzie W. Mathis
35
165
0
01 Sep 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
Unsupervised MRI Reconstruction with Generative Adversarial Networks
Unsupervised MRI Reconstruction with Generative Adversarial Networks
Elizabeth K. Cole
John M. Pauly
S. Vasanawala
Frank Ong
GAN
MedIm
22
50
0
29 Aug 2020
Puzzle-AE: Novelty Detection in Images through Solving Puzzles
Puzzle-AE: Novelty Detection in Images through Solving Puzzles
Mohammadreza Salehi
Ainaz Eftekhar
Niousha Sadjadi
M. Rohban
Hamid R. Rabiee
AAML
22
43
0
29 Aug 2020
Delving into Inter-Image Invariance for Unsupervised Visual
  Representations
Delving into Inter-Image Invariance for Unsupervised Visual Representations
Jiahao Xie
Xiaohang Zhan
Ziwei Liu
Yew-Soon Ong
Chen Change Loy
SSL
VLM
21
58
0
26 Aug 2020
Learning to Learn in a Semi-Supervised Fashion
Learning to Learn in a Semi-Supervised Fashion
Yun-Chun Chen
Chao-Te Chou
Y. Wang
SSL
28
6
0
25 Aug 2020
Unsupervised Deep Metric Learning via Orthogonality based Probabilistic
  Loss
Unsupervised Deep Metric Learning via Orthogonality based Probabilistic Loss
U. Dutta
Mehrtash Harandi
C. Sekhar
SSL
20
16
0
22 Aug 2020
A Self-supervised GAN for Unsupervised Few-shot Object Recognition
A Self-supervised GAN for Unsupervised Few-shot Object Recognition
Khoi Duc Minh Nguyen
S. Todorovic
SSL
18
5
0
16 Aug 2020
Self-supervised Video Representation Learning by Pace Prediction
Self-supervised Video Representation Learning by Pace Prediction
Jiangliu Wang
Jianbo Jiao
Yunhui Liu
SSL
AI4TS
24
233
0
13 Aug 2020
What Should Not Be Contrastive in Contrastive Learning
What Should Not Be Contrastive in Contrastive Learning
Tete Xiao
Xiaolong Wang
Alexei A. Efros
Trevor Darrell
SSL
DRL
35
298
0
13 Aug 2020
Unsupervised Deep Metric Learning with Transformed Attention Consistency
  and Contrastive Clustering Loss
Unsupervised Deep Metric Learning with Transformed Attention Consistency and Contrastive Clustering Loss
Yong Li
Shichao Kan
Zhihai He
SSL
6
24
0
10 Aug 2020
Unsupervised Feature Learning by Cross-Level Instance-Group
  Discrimination
Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination
Xudong Wang
Ziwei Liu
Stella X. Yu
SSL
20
76
0
09 Aug 2020
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