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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
Learning Disentangled Representation by Exploiting Pretrained Generative
  Models: A Contrastive Learning View
Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View
Xuanchi Ren
Tao Yang
Yuwang Wang
W. Zeng
CoGeOCLDRL
105
40
0
21 Feb 2021
Contrastive Learning Inverts the Data Generating Process
Contrastive Learning Inverts the Data Generating Process
Roland S. Zimmermann
Yash Sharma
Steffen Schneider
Matthias Bethge
Wieland Brendel
SSL
378
223
0
17 Feb 2021
Instance Localization for Self-supervised Detection Pretraining
Instance Localization for Self-supervised Detection Pretraining
Ceyuan Yang
Zhirong Wu
Bolei Zhou
Stephen Lin
ViTSSL
172
149
0
16 Feb 2021
Understanding Negative Samples in Instance Discriminative
  Self-supervised Representation Learning
Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning
Kento Nozawa
Issei Sato
SSL
132
46
0
13 Feb 2021
Unleashing the Power of Contrastive Self-Supervised Visual Models via
  Contrast-Regularized Fine-Tuning
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning
Yifan Zhang
Bryan Hooi
Dapeng Hu
Jian Liang
Jiashi Feng
129
64
0
12 Feb 2021
Semantically-Conditioned Negative Samples for Efficient Contrastive
  Learning
Semantically-Conditioned Negative Samples for Efficient Contrastive Learning
J. Ó. Neill
Danushka Bollegala
62
6
0
12 Feb 2021
Train a One-Million-Way Instance Classifier for Unsupervised Visual
  Representation Learning
Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning
Yu Liu
Lianghua Huang
Pan Pan
Bin Wang
Yinghui Xu
Rong Jin
SSL
67
3
0
09 Feb 2021
DetCo: Unsupervised Contrastive Learning for Object Detection
DetCo: Unsupervised Contrastive Learning for Object Detection
Enze Xie
Jian Ding
Wenhai Wang
Xiaohang Zhan
Hang Xu
Peize Sun
Zhenguo Li
Ping Luo
101
325
0
09 Feb 2021
TraND: Transferable Neighborhood Discovery for Unsupervised Cross-domain
  Gait Recognition
TraND: Transferable Neighborhood Discovery for Unsupervised Cross-domain Gait Recognition
Jinkai Zheng
Xinchen Liu
C. Yan
Jiyong Zhang
Wu Liu
Xiaoping Zhang
Tao Mei
CVBM
68
13
0
09 Feb 2021
Improving memory banks for unsupervised learning with large mini-batch,
  consistency and hard negative mining
Improving memory banks for unsupervised learning with large mini-batch, consistency and hard negative mining
Adrian Bulat
Enrique Sánchez-Lozano
Georgios Tzimiropoulos
75
5
0
08 Feb 2021
Quantifying and Mitigating Privacy Risks of Contrastive Learning
Quantifying and Mitigating Privacy Risks of Contrastive Learning
Xinlei He
Yang Zhang
83
53
0
08 Feb 2021
Semi-Supervised Action Recognition with Temporal Contrastive Learning
Semi-Supervised Action Recognition with Temporal Contrastive Learning
Ankit Singh
Omprakash Chakraborty
Ashutosh Varshney
Yikang Shen
Rogerio Feris
Kate Saenko
Abir Das
82
99
0
04 Feb 2021
NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose
  Estimation
NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation
Angtian Wang
Adam Kortylewski
Alan Yuille
3DH
66
49
0
29 Jan 2021
Exploring Cross-Image Pixel Contrast for Semantic Segmentation
Exploring Cross-Image Pixel Contrast for Semantic Segmentation
Wenguan Wang
Tianfei Zhou
Feng Yu
Jifeng Dai
E. Konukoglu
Luc Van Gool
198
485
0
28 Jan 2021
Supervised Momentum Contrastive Learning for Few-Shot Classification
Supervised Momentum Contrastive Learning for Few-Shot Classification
Orchid Majumder
Avinash Ravichandran
Subhransu Maji
Alessandro Achille
M. Polito
Stefano Soatto
SSL
100
12
0
26 Jan 2021
Prototypical Pseudo Label Denoising and Target Structure Learning for
  Domain Adaptive Semantic Segmentation
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation
Pan Zhang
Bo Zhang
Ting Zhang
Dong Chen
Yong Wang
Fang Wen
182
499
0
26 Jan 2021
Improving Few-Shot Learning with Auxiliary Self-Supervised Pretext Tasks
Improving Few-Shot Learning with Auxiliary Self-Supervised Pretext Tasks
N. Simard
Guillaume Lagrange
SSL
39
5
0
24 Jan 2021
Self-Adaptive Training: Bridging Supervised and Self-Supervised Learning
Self-Adaptive Training: Bridging Supervised and Self-Supervised Learning
Lang Huang
Chaoning Zhang
Hongyang R. Zhang
SSL
101
25
0
21 Jan 2021
Exponential Moving Average Normalization for Self-supervised and
  Semi-supervised Learning
Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning
Zhaowei Cai
Avinash Ravichandran
Subhransu Maji
Charless C. Fowlkes
Zhuowen Tu
Stefano Soatto
134
120
0
21 Jan 2021
Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for
  Self-Supervised Learning
Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for Self-Supervised Learning
Zeming Li
Songtao Liu
Jian Sun
113
16
0
19 Jan 2021
Unsupervised Noisy Tracklet Person Re-identification
Unsupervised Noisy Tracklet Person Re-identification
Minxian Li
Xiatian Zhu
S. Gong
106
1
0
16 Jan 2021
Big Self-Supervised Models Advance Medical Image Classification
Big Self-Supervised Models Advance Medical Image Classification
Shekoofeh Azizi
Basil Mustafa
Fiona Ryan
Zach Beaver
Jan Freyberg
...
Alan Karthikesalingam
Simon Kornblith
Ting-Li Chen
Vivek Natarajan
Mohammad Norouzi
SSL
121
522
0
13 Jan 2021
Learning to Anticipate Egocentric Actions by Imagination
Learning to Anticipate Egocentric Actions by Imagination
Yu Wu
Linchao Zhu
Xiaohan Wang
Yi Yang
Leilei Gan
EgoV
157
69
0
13 Jan 2021
SEED: Self-supervised Distillation For Visual Representation
SEED: Self-supervised Distillation For Visual Representation
Zhiyuan Fang
Jianfeng Wang
Lijuan Wang
Lei Zhang
Yezhou Yang
Zicheng Liu
SSL
334
196
0
12 Jan 2021
Cross-Modal Contrastive Learning for Text-to-Image Generation
Cross-Modal Contrastive Learning for Text-to-Image Generation
Han Zhang
Jing Yu Koh
Jason Baldridge
Honglak Lee
Yinfei Yang
GAN
183
364
0
12 Jan 2021
Self-Supervised Pretraining of 3D Features on any Point-Cloud
Self-Supervised Pretraining of 3D Features on any Point-Cloud
Zaiwei Zhang
Rohit Girdhar
Armand Joulin
Ishan Misra
3DPC
222
272
0
07 Jan 2021
CLEAR: Contrastive Learning for Sentence Representation
CLEAR: Contrastive Learning for Sentence Representation
Zhuofeng Wu
Sinong Wang
Jiatao Gu
Madian Khabsa
Fei Sun
Hao Ma
SSL
82
324
0
31 Dec 2020
COIN: Contrastive Identifier Network for Breast Mass Diagnosis in
  Mammography
COIN: Contrastive Identifier Network for Breast Mass Diagnosis in Mammography
Heyi Li
Dongdong Chen
W. Nailon
Mike E. Davies
Dave Laurenson
28
1
0
29 Dec 2020
ANL: Anti-Noise Learning for Cross-Domain Person Re-Identification
ANL: Anti-Noise Learning for Cross-Domain Person Re-Identification
Hongliang Zhang
Shoudong Han
Xiaofeng Pan
Jun Zhao
72
1
0
27 Dec 2020
Spatial Contrastive Learning for Few-Shot Classification
Spatial Contrastive Learning for Few-Shot Classification
Yassine Ouali
C´eline Hudelot
Myriam Tami
59
51
0
26 Dec 2020
Few Shot Learning With No Labels
Few Shot Learning With No Labels
Aditya Bharti
V. Balasubramanian
C. V. Jawahar
VLM
36
3
0
26 Dec 2020
Dual-Refinement: Joint Label and Feature Refinement for Unsupervised
  Domain Adaptive Person Re-Identification
Dual-Refinement: Joint Label and Feature Refinement for Unsupervised Domain Adaptive Person Re-Identification
Yongxing Dai
Jun Liu
Yan Bai
Zekun Tong
Ling-yu Duan
98
78
0
26 Dec 2020
Self-supervised Pre-training with Hard Examples Improves Visual
  Representations
Self-supervised Pre-training with Hard Examples Improves Visual Representations
Chunyuan Li
Xiujun Li
Lei Zhang
Baolin Peng
Mingyuan Zhou
Jianfeng Gao
SSL
88
24
0
25 Dec 2020
P4Contrast: Contrastive Learning with Pairs of Point-Pixel Pairs for
  RGB-D Scene Understanding
P4Contrast: Contrastive Learning with Pairs of Point-Pixel Pairs for RGB-D Scene Understanding
Yunze Liu
Li Yi
Shanghang Zhang
Qingnan Fan
Thomas Funkhouser
Hao Dong
SSL
115
60
0
24 Dec 2020
Social NCE: Contrastive Learning of Socially-aware Motion
  Representations
Social NCE: Contrastive Learning of Socially-aware Motion Representations
Yuejiang Liu
Qi Yan
Alexandre Alahi
140
103
0
21 Dec 2020
Camera-aware Proxies for Unsupervised Person Re-Identification
Camera-aware Proxies for Unsupervised Person Re-Identification
Menglin Wang
Baisheng Lai
Jianqiang Huang
Xiaojin Gong
Xiansheng Hua
89
202
0
19 Dec 2020
Leveraging Meta-path Contexts for Classification in Heterogeneous
  Information Networks
Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks
Xiang Li
Danhao Ding
B. Kao
Yizhou Sun
N. Mamoulis
149
49
0
18 Dec 2020
Unsupervised Learning of Local Discriminative Representation for Medical
  Images
Unsupervised Learning of Local Discriminative Representation for Medical Images
Huai Chen
Jieyu Li
Renzhen Wang
Yijie Huang
Fanrui Meng
Deyu Meng
Qing Peng
Lisheng Wang
SSL
64
8
0
17 Dec 2020
ISD: Self-Supervised Learning by Iterative Similarity Distillation
ISD: Self-Supervised Learning by Iterative Similarity Distillation
Ajinkya Tejankar
Soroush Abbasi Koohpayegani
Vipin Pillai
Paolo Favaro
Hamed Pirsiavash
SSL
70
44
0
16 Dec 2020
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene
  Contexts
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts
Ji Hou
Benjamin Graham
Matthias Nießner
Saining Xie
3DPC
136
273
0
16 Dec 2020
Joint Generative and Contrastive Learning for Unsupervised Person
  Re-identification
Joint Generative and Contrastive Learning for Unsupervised Person Re-identification
Hao Chen
Yaohui Wang
Benoit Lagadec
A. Dantcheva
Francois Bremond
GANSSL
92
142
0
16 Dec 2020
Understanding the Behaviour of Contrastive Loss
Understanding the Behaviour of Contrastive Loss
Feng Wang
Huaping Liu
SSL
132
697
0
15 Dec 2020
Scaling Semantic Segmentation Beyond 1K Classes on a Single GPU
Scaling Semantic Segmentation Beyond 1K Classes on a Single GPU
Shipra Jain
D. Pani
Martin Danelljan
Luc Van Gool
VLM
122
12
0
14 Dec 2020
Learning Category-level Shape Saliency via Deep Implicit Surface
  Networks
Learning Category-level Shape Saliency via Deep Implicit Surface Networks
Chaozheng Wu
Lin Sun
Xun Xu
Kui Jia
3DPC
35
0
0
14 Dec 2020
Contrastive Learning for Label-Efficient Semantic Segmentation
Contrastive Learning for Label-Efficient Semantic Segmentation
Xiangyu Zhao
Raviteja Vemulapalli
Philip Mansfield
Boqing Gong
Bradley Green
Lior Shapira
Ying Nian Wu
SSLSSeg
179
177
0
13 Dec 2020
The Lottery Tickets Hypothesis for Supervised and Self-supervised
  Pre-training in Computer Vision Models
The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models
Tianlong Chen
Jonathan Frankle
Shiyu Chang
Sijia Liu
Yang Zhang
Michael Carbin
Zhangyang Wang
97
123
0
12 Dec 2020
A Comprehensive Study of Deep Video Action Recognition
A Comprehensive Study of Deep Video Action Recognition
Yi Zhu
Xinyu Li
Chunhui Liu
Mohammadreza Zolfaghari
Yuanjun Xiong
Chongruo Wu
Zhi-Li Zhang
Joseph Tighe
R. Manmatha
Mu Li
VLMAI4TS
129
188
0
11 Dec 2020
Context Matters: Graph-based Self-supervised Representation Learning for
  Medical Images
Context Matters: Graph-based Self-supervised Representation Learning for Medical Images
Li Sun
Ke Yu
Kayhan Batmanghelich
SSL
90
24
0
11 Dec 2020
Are Fewer Labels Possible for Few-shot Learning?
Are Fewer Labels Possible for Few-shot Learning?
Suichan Li
Dongdong Chen
Yinpeng Chen
Lu Yuan
Lefei Zhang
Qi Chu
Nenghai Yu
SSL
63
3
0
10 Dec 2020
CASTing Your Model: Learning to Localize Improves Self-Supervised
  Representations
CASTing Your Model: Learning to Localize Improves Self-Supervised Representations
Ramprasaath R. Selvaraju
Karan Desai
Justin Johnson
Nikhil Naik
SSL
101
80
0
08 Dec 2020
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