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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
ArXiv (abs)PDFHTML

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

50 / 1,940 papers shown
Title
Multi-dataset Pretraining: A Unified Model for Semantic Segmentation
Multi-dataset Pretraining: A Unified Model for Semantic Segmentation
Bowen Shi
Xiaopeng Zhang
Haohang Xu
Wenrui Dai
Junni Zou
H. Xiong
Qi Tian
56
8
0
08 Jun 2021
Self-Supervised Graph Learning with Proximity-based Views and Channel
  Contrast
Self-Supervised Graph Learning with Proximity-based Views and Channel Contrast
Wei Zhuo
Guang Tan
SSL
135
0
0
07 Jun 2021
Incremental False Negative Detection for Contrastive Learning
Incremental False Negative Detection for Contrastive Learning
Tsai-Shien Chen
Wei-Chih Hung
Hung-Yu Tseng
Shao-Yi Chien
Ming-Hsuan Yang
SSLCLL
93
62
0
07 Jun 2021
Understand and Improve Contrastive Learning Methods for Visual
  Representation: A Review
Understand and Improve Contrastive Learning Methods for Visual Representation: A Review
Ran Liu
SSL
62
12
0
06 Jun 2021
Combinatorial Optimization for Panoptic Segmentation: A Fully
  Differentiable Approach
Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach
Ahmed Abbas
Paul Swoboda
53
14
0
06 Jun 2021
Large-scale Unsupervised Semantic Segmentation
Large-scale Unsupervised Semantic Segmentation
Shangqi Gao
Zhong-Yu Li
Ming-Hsuan Yang
Mingg-Ming Cheng
Junwei Han
Philip Torr
UQCV
125
92
0
06 Jun 2021
MoCL: Data-driven Molecular Fingerprint via Knowledge-aware Contrastive
  Learning from Molecular Graph
MoCL: Data-driven Molecular Fingerprint via Knowledge-aware Contrastive Learning from Molecular Graph
Mengying Sun
Jing Xing
Huijun Wang
Bin Chen
Jiayu Zhou
156
121
0
05 Jun 2021
Category Contrast for Unsupervised Domain Adaptation in Visual Tasks
Category Contrast for Unsupervised Domain Adaptation in Visual Tasks
Jiaxing Huang
Dayan Guan
Aoran Xiao
Shijian Lu
Ling Shao
CML
143
128
0
05 Jun 2021
Visual communication of object concepts at different levels of
  abstraction
Visual communication of object concepts at different levels of abstraction
Justin Yang
Judith E. Fan
31
13
0
05 Jun 2021
Aligning Pretraining for Detection via Object-Level Contrastive Learning
Aligning Pretraining for Detection via Object-Level Contrastive Learning
Fangyun Wei
Yue Gao
Zhirong Wu
Han Hu
Stephen Lin
ObjD
72
148
0
04 Jun 2021
You Never Cluster Alone
You Never Cluster Alone
Yuming Shen
Ziyi Shen
Menghan Wang
Jie Qin
Philip Torr
Ling Shao
SSL
110
45
0
03 Jun 2021
SAINT: Improved Neural Networks for Tabular Data via Row Attention and
  Contrastive Pre-Training
SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
Gowthami Somepalli
Micah Goldblum
Avi Schwarzschild
C. Bayan Bruss
Tom Goldstein
LMTD
108
336
0
02 Jun 2021
Exploring the Diversity and Invariance in Yourself for Visual
  Pre-Training Task
Exploring the Diversity and Invariance in Yourself for Visual Pre-Training Task
Longhui Wei
Lingxi Xie
Wen-gang Zhou
Houqiang Li
Qi Tian
SSL
72
3
0
01 Jun 2021
Clustering-friendly Representation Learning via Instance Discrimination
  and Feature Decorrelation
Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation
Yaling Tao
Kentaro Takagi
Kouta Nakata
52
92
0
31 May 2021
CLEVE: Contrastive Pre-training for Event Extraction
CLEVE: Contrastive Pre-training for Event Extraction
Ziqi Wang
Xiaozhi Wang
Xu Han
Yankai Lin
Lei Hou
Zhiyuan Liu
Peng Li
Juan-Zi Li
Jie Zhou
84
118
0
30 May 2021
What Is Considered Complete for Visual Recognition?
What Is Considered Complete for Visual Recognition?
Lingxi Xie
Xiaopeng Zhang
Longhui Wei
Jianlong Chang
Qi Tian
VLM
104
4
0
28 May 2021
Unsupervised Action Segmentation by Joint Representation Learning and
  Online Clustering
Unsupervised Action Segmentation by Joint Representation Learning and Online Clustering
Sateesh Kumar
S. Haresh
Awais Ahmed
Andrey Konin
M. Zia
Quoc-Huy Tran
SSL
108
48
0
27 May 2021
Self-Ensembling Contrastive Learning for Semi-Supervised Medical Image
  Segmentation
Self-Ensembling Contrastive Learning for Semi-Supervised Medical Image Segmentation
Jin-Peng Xiang
Zhuowei Li
Wenji Wang
Qing Xia
Shaoting Zhang
SSL
50
15
0
27 May 2021
Unsupervised Visual Representation Learning by Online Constrained
  K-Means
Unsupervised Visual Representation Learning by Online Constrained K-Means
Qi Qian
Yuanhong Xu
Juhua Hu
Hao Li
Rong Jin
CMLSSL
77
36
0
24 May 2021
IDEAL: Independent Domain Embedding Augmentation Learning
IDEAL: Independent Domain Embedding Augmentation Learning
Zhiyuan Chen
Guang Yao
Wennan Ma
Lin Xu
OOD
104
1
0
21 May 2021
Balancing Robustness and Sensitivity using Feature Contrastive Learning
Balancing Robustness and Sensitivity using Feature Contrastive Learning
Seungyeon Kim
Daniel Glasner
Srikumar Ramalingam
Cho-Jui Hsieh
Kishore Papineni
Sanjiv Kumar
41
1
0
19 May 2021
Unsupervised Discriminative Learning of Sounds for Audio Event
  Classification
Unsupervised Discriminative Learning of Sounds for Audio Event Classification
Sascha Hornauer
Ke Li
Stella X. Yu
Shabnam Ghaffarzadegan
Liu Ren
SSL
69
5
0
19 May 2021
Self-Supervised Learning for Fine-Grained Visual Categorization
Self-Supervised Learning for Fine-Grained Visual Categorization
Muhammad Maaz
H. Rasheed
D. Gaddam
47
2
0
18 May 2021
Exemplar-Based Open-Set Panoptic Segmentation Network
Exemplar-Based Open-Set Panoptic Segmentation Network
Jaedong Hwang
Seoung Wug Oh
Joon-Young Lee
Bohyung Han
VLM
131
51
0
18 May 2021
Towards Unsupervised Sketch-based Image Retrieval
Towards Unsupervised Sketch-based Image Retrieval
Conghui Hu
Yongxin Yang
Yunpeng Li
Timothy M. Hospedales
Yi-Zhe Song
82
5
0
18 May 2021
Divide and Contrast: Self-supervised Learning from Uncurated Data
Divide and Contrast: Self-supervised Learning from Uncurated Data
Yonglong Tian
Olivier J. Hénaff
Aaron van den Oord
SSL
138
101
0
17 May 2021
Voxel-level Siamese Representation Learning for Abdominal Multi-Organ
  Segmentation
Voxel-level Siamese Representation Learning for Abdominal Multi-Organ Segmentation
Chae-Eun Lee
Minyoung Chung
Y. Shin
DRL
80
10
0
17 May 2021
Leveraging EfficientNet and Contrastive Learning for Accurate
  Global-scale Location Estimation
Leveraging EfficientNet and Contrastive Learning for Accurate Global-scale Location Estimation
Giorgos Kordopatis-Zilos
Panagiotis Galopoulos
Symeon Papadopoulos
Y. Kompatsiaris
41
15
0
17 May 2021
Semi-supervised Contrastive Learning with Similarity Co-calibration
Semi-supervised Contrastive Learning with Similarity Co-calibration
Yuhang Zhang
Xiaopeng Zhang
Robert C. Qiu
Jie Li
Haohang Xu
Qi Tian
SSL
49
61
0
16 May 2021
Mean Shift for Self-Supervised Learning
Mean Shift for Self-Supervised Learning
Soroush Abbasi Koohpayegani
Ajinkya Tejankar
Hamed Pirsiavash
SSL
69
93
0
15 May 2021
Momentum Contrastive Voxel-wise Representation Learning for
  Semi-supervised Volumetric Medical Image Segmentation
Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation
Chenyu You
Ruihan Zhao
Lawrence H. Staib
James S. Duncan
SSL
130
106
0
14 May 2021
Contrastive Learning of Image Representations with Cross-Video
  Cycle-Consistency
Contrastive Learning of Image Representations with Cross-Video Cycle-Consistency
Haiping Wu
Xiaolong Wang
SSL
74
31
0
13 May 2021
Video Corpus Moment Retrieval with Contrastive Learning
Video Corpus Moment Retrieval with Contrastive Learning
Hao Zhang
Aixin Sun
Wei Jing
Guoshun Nan
Liangli Zhen
Qiufeng Wang
Rick Siow Mong Goh
108
88
0
13 May 2021
BertGCN: Transductive Text Classification by Combining GCN and BERT
BertGCN: Transductive Text Classification by Combining GCN and BERT
Yuxiao Lin
Yuxian Meng
Xiaofei Sun
Qinghong Han
Kun Kuang
Jiwei Li
Leilei Gan
132
238
0
12 May 2021
PoseContrast: Class-Agnostic Object Viewpoint Estimation in the Wild
  with Pose-Aware Contrastive Learning
PoseContrast: Class-Agnostic Object Viewpoint Estimation in the Wild with Pose-Aware Contrastive Learning
Yang Xiao
Yuming Du
Renaud Marlet
SSL
65
23
0
12 May 2021
VICReg: Variance-Invariance-Covariance Regularization for
  Self-Supervised Learning
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
Adrien Bardes
Jean Ponce
Yann LeCun
SSLDML
209
946
0
11 May 2021
Semi-Supervised Metric Learning: A Deep Resurrection
Semi-Supervised Metric Learning: A Deep Resurrection
U. Dutta
Mehrtash Harandi
C. Sekhar
46
7
0
10 May 2021
Contrastive Attraction and Contrastive Repulsion for Representation
  Learning
Contrastive Attraction and Contrastive Repulsion for Representation Learning
Huangjie Zheng
Xu Chen
Jiangchao Yao
Hongxia Yang
Chunyuan Li
Ya Zhang
Hao Zhang
Ivor Tsang
Jingren Zhou
Mingyuan Zhou
SSL
113
12
0
08 May 2021
Logic-Driven Context Extension and Data Augmentation for Logical
  Reasoning of Text
Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text
Siyuan Wang
Wanjun Zhong
Duyu Tang
Zhongyu Wei
Zhihao Fan
Daxin Jiang
Ming Zhou
Nan Duan
NAI
134
73
0
08 May 2021
Video Class Agnostic Segmentation with Contrastive Learning for
  Autonomous Driving
Video Class Agnostic Segmentation with Contrastive Learning for Autonomous Driving
Mennatullah Siam
Alex Kendall
Martin Jägersand
123
0
0
07 May 2021
Exploring Instance Relations for Unsupervised Feature Embedding
Exploring Instance Relations for Unsupervised Feature Embedding
Yifei Zhang
Yu Zhou
Weiping Wang
71
6
0
07 May 2021
Self-Supervised Learning from Automatically Separated Sound Scenes
Self-Supervised Learning from Automatically Separated Sound Scenes
Eduardo Fonseca
A. Jansen
D. Ellis
Scott Wisdom
Marco Tagliasacchi
J. Hershey
Manoj Plakal
Shawn Hershey
R. C. Moore
Xavier Serra
SSL
81
13
0
05 May 2021
MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering
MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering
Tsung Wei Tsai
Chongxuan Li
Jun Zhu
65
61
0
05 May 2021
Representation Learning for Clustering via Building Consensus
Representation Learning for Clustering via Building Consensus
A. Deshmukh
Jayanth Reddy Regatti
Eren Manavoglu
Ürün Dogan
SSL
58
9
0
04 May 2021
End-to-end One-shot Human Parsing
End-to-end One-shot Human Parsing
Haoyu He
Bohan Zhuang
Jing Zhang
Jianfei Cai
Dacheng Tao
VLM
84
8
0
04 May 2021
Curious Representation Learning for Embodied Intelligence
Curious Representation Learning for Embodied Intelligence
Yilun Du
Chuang Gan
Phillip Isola
SSLLM&Ro
172
40
0
03 May 2021
Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive
  Learning
Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning
Tsung-Wei Ke
Jyh-Jing Hwang
Stella X. Yu
SSL
91
75
0
03 May 2021
A Good Image Generator Is What You Need for High-Resolution Video
  Synthesis
A Good Image Generator Is What You Need for High-Resolution Video Synthesis
Yu Tian
Jian Ren
Menglei Chai
Kyle Olszewski
Xi Peng
Dimitris N. Metaxas
Sergey Tulyakov
VGen
106
188
0
30 Apr 2021
Evaluating Contrastive Models for Instance-based Image Retrieval
Evaluating Contrastive Models for Instance-based Image Retrieval
Tarun Krishna
Kevin McGuinness
Noel E. O'Connor
48
5
0
30 Apr 2021
CoCon: Cooperative-Contrastive Learning
CoCon: Cooperative-Contrastive Learning
Nishant Rai
Ehsan Adeli
Kuan-Hui Lee
Adrien Gaidon
Juan Carlos Niebles
SSL
76
18
0
30 Apr 2021
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