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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
Simple Distillation Baselines for Improving Small Self-supervised Models
Simple Distillation Baselines for Improving Small Self-supervised Models
Jindong Gu
Wei Liu
Yonglong Tian
27
8
0
21 Jun 2021
Interventional Video Grounding with Dual Contrastive Learning
Interventional Video Grounding with Dual Contrastive Learning
Guoshun Nan
Rui Qiao
Yao Xiao
Jun Liu
Sicong Leng
H. Zhang
Wei Lu
31
144
0
21 Jun 2021
CIL: Contrastive Instance Learning Framework for Distantly Supervised
  Relation Extraction
CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction
Tao Chen
Haizhou Shi
Siliang Tang
Zhigang Chen
Fei Wu
Yueting Zhuang
19
54
0
21 Jun 2021
Neighborhood Contrastive Learning for Novel Class Discovery
Neighborhood Contrastive Learning for Novel Class Discovery
Zhun Zhong
Enrico Fini
Subhankar Roy
Zhiming Luo
Elisa Ricci
N. Sebe
22
142
0
20 Jun 2021
Global and Local Contrastive Self-Supervised Learning for Semantic
  Segmentation of HR Remote Sensing Images
Global and Local Contrastive Self-Supervised Learning for Semantic Segmentation of HR Remote Sensing Images
Haifeng Li
Yi Li
Guo Zhang
Ruoyun Liu
Haozhe Huang
Qing Zhu
Chao Tao
SSL
27
114
0
20 Jun 2021
Residual Contrastive Learning for Image Reconstruction: Learning
  Transferable Representations from Noisy Images
Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images
Nanqing Dong
Matteo Maggioni
Yongxin Yang
Eduardo Pérez-Pellitero
A. Leonardis
Jingyu Sun
SSL
19
6
0
18 Jun 2021
Learning to Predict Visual Attributes in the Wild
Learning to Predict Visual Attributes in the Wild
Khoi Pham
Kushal Kafle
Zhe Lin
Zhi Ding
Scott D. Cohen
Q. Tran
Abhinav Shrivastava
21
108
0
17 Jun 2021
MaCLR: Motion-aware Contrastive Learning of Representations for Videos
MaCLR: Motion-aware Contrastive Learning of Representations for Videos
Fanyi Xiao
Joseph Tighe
Davide Modolo
SSL
24
13
0
17 Jun 2021
Poisoning and Backdooring Contrastive Learning
Poisoning and Backdooring Contrastive Learning
Nicholas Carlini
Andreas Terzis
46
158
0
17 Jun 2021
Unsupervised Path Representation Learning with Curriculum Negative
  Sampling
Unsupervised Path Representation Learning with Curriculum Negative Sampling
Sean Bin Yang
Chenjuan Guo
Jilin Hu
Jiangtao Tang
Bin Yang
SSL
24
48
0
17 Jun 2021
An Evaluation of Self-Supervised Pre-Training for Skin-Lesion Analysis
An Evaluation of Self-Supervised Pre-Training for Skin-Lesion Analysis
Levy G. Chaves
Alceu Bissoto
Eduardo Valle
Sandra Avila
32
15
0
17 Jun 2021
$C^3$: Compositional Counterfactual Contrastive Learning for
  Video-grounded Dialogues
C3C^3C3: Compositional Counterfactual Contrastive Learning for Video-grounded Dialogues
Hung Le
Nancy F. Chen
Guosheng Lin
27
2
0
16 Jun 2021
BEiT: BERT Pre-Training of Image Transformers
BEiT: BERT Pre-Training of Image Transformers
Hangbo Bao
Li Dong
Songhao Piao
Furu Wei
ViT
68
2,751
0
15 Jun 2021
Cluster-guided Asymmetric Contrastive Learning for Unsupervised Person
  Re-Identification
Cluster-guided Asymmetric Contrastive Learning for Unsupervised Person Re-Identification
Mingkun Li
Chun-Guang Li
Jun Guo
SSL
34
70
0
15 Jun 2021
Partial success in closing the gap between human and machine vision
Partial success in closing the gap between human and machine vision
Robert Geirhos
Kantharaju Narayanappa
Benjamin Mitzkus
Tizian Thieringer
Matthias Bethge
Felix Wichmann
Wieland Brendel
VLM
AAML
53
222
0
14 Jun 2021
Pre-Trained Models: Past, Present and Future
Pre-Trained Models: Past, Present and Future
Xu Han
Zhengyan Zhang
Ning Ding
Yuxian Gu
Xiao Liu
...
Jie Tang
Ji-Rong Wen
Jinhui Yuan
Wayne Xin Zhao
Jun Zhu
AIFin
MQ
AI4MH
58
818
0
14 Jun 2021
Cross-Modal Attention Consistency for Video-Audio Unsupervised Learning
Cross-Modal Attention Consistency for Video-Audio Unsupervised Learning
Shaobo Min
Qi Dai
Hongtao Xie
Chuang Gan
Yongdong Zhang
Jingdong Wang
SSL
23
7
0
13 Jun 2021
Robust Representation Learning via Perceptual Similarity Metrics
Robust Representation Learning via Perceptual Similarity Metrics
Saeid Asgari Taghanaki
Kristy Choi
Amir Khasahmadi
Anirudh Goyal
SSL
18
30
0
11 Jun 2021
Deep Conditional Gaussian Mixture Model for Constrained Clustering
Deep Conditional Gaussian Mixture Model for Constrained Clustering
Laura Manduchi
Kieran Chin-Cheong
H. Michel
S. Wellmann
Julia E. Vogt
AI4CE
21
29
0
11 Jun 2021
Refining Pseudo Labels with Clustering Consensus over Generations for
  Unsupervised Object Re-identification
Refining Pseudo Labels with Clustering Consensus over Generations for Unsupervised Object Re-identification
Xiao Zhang
Yixiao Ge
Yu Qiao
Hongsheng Li
35
96
0
11 Jun 2021
Revisiting Contrastive Methods for Unsupervised Learning of Visual
  Representations
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations
Wouter Van Gansbeke
Simon Vandenhende
Stamatios Georgoulis
Luc Van Gool
SSL
25
65
0
10 Jun 2021
MST: Masked Self-Supervised Transformer for Visual Representation
MST: Masked Self-Supervised Transformer for Visual Representation
Zhaowen Li
Zhiyang Chen
Fan Yang
Wei Li
Yousong Zhu
...
Rui Deng
Liwei Wu
Rui Zhao
Ming Tang
Jinqiao Wang
ViT
45
163
0
10 Jun 2021
Progressive Stage-wise Learning for Unsupervised Feature Representation
  Enhancement
Progressive Stage-wise Learning for Unsupervised Feature Representation Enhancement
Zefan Li
Chenxi Liu
Alan Yuille
Bingbing Ni
Wenjun Zhang
Wen Gao
SSL
16
5
0
10 Jun 2021
Fairness-Aware Node Representation Learning
Fairness-Aware Node Representation Learning
Öykü Deniz Köse
Yanning Shen
32
22
0
09 Jun 2021
Generative Models as a Data Source for Multiview Representation Learning
Generative Models as a Data Source for Multiview Representation Learning
Ali Jahanian
Xavier Puig
Yonglong Tian
Phillip Isola
38
125
0
09 Jun 2021
I Don't Need u: Identifiable Non-Linear ICA Without Side Information
I Don't Need u: Identifiable Non-Linear ICA Without Side Information
M. Willetts
Brooks Paige
CML
OOD
18
23
0
09 Jun 2021
CLCC: Contrastive Learning for Color Constancy
CLCC: Contrastive Learning for Color Constancy
Yi-Chen Lo
Chia-Che Chang
Hsuan-Chao Chiu
Yu-Hao Huang
Chia-Ping Chen
Yu-Lin Chang
Kevin Jou
30
49
0
09 Jun 2021
Self-Supervised Learning with Data Augmentations Provably Isolates
  Content from Style
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
Julius von Kügelgen
Yash Sharma
Luigi Gresele
Wieland Brendel
Bernhard Schölkopf
M. Besserve
Francesco Locatello
30
304
0
08 Jun 2021
Data-Efficient Instance Generation from Instance Discrimination
Data-Efficient Instance Generation from Instance Discrimination
Ceyuan Yang
Yujun Shen
Yinghao Xu
Bolei Zhou
33
83
0
08 Jun 2021
DETReg: Unsupervised Pretraining with Region Priors for Object Detection
DETReg: Unsupervised Pretraining with Region Priors for Object Detection
Amir Bar
Xin Wang
Vadim Kantorov
Colorado Reed
Roei Herzig
Gal Chechik
Anna Rohrbach
Trevor Darrell
Amir Globerson
ViT
33
115
0
08 Jun 2021
Provable Guarantees for Self-Supervised Deep Learning with Spectral
  Contrastive Loss
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss
Jeff Z. HaoChen
Colin Wei
Adrien Gaidon
Tengyu Ma
SSL
24
302
0
08 Jun 2021
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
17
7
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
19
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
SSL
CLL
18
61
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
29
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
32
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
50
84
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
24
115
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
40
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
11
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
30
144
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
23
43
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
26
309
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
27
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
17
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
37
116
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
28
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
27
47
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
22
14
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
CML
SSL
20
33
0
24 May 2021
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