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  4. Cited By
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 / 2,002 papers shown
Contrastive Learning Meets Transfer Learning: A Case Study In Medical
  Image Analysis
Contrastive Learning Meets Transfer Learning: A Case Study In Medical Image Analysis
Yuzhe Lu
Aadarsh Jha
Yuankai Huo
MedIm
188
5
0
04 Mar 2021
SSTN: Self-Supervised Domain Adaptation Thermal Object Detection for
  Autonomous Driving
SSTN: Self-Supervised Domain Adaptation Thermal Object Detection for Autonomous DrivingIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Farzeen Munir
Shoaib Azam
M. Jeon
ViT
174
44
0
04 Mar 2021
Self-supervised deep convolutional neural network for chest X-ray
  classification
Self-supervised deep convolutional neural network for chest X-ray classificationIEEE Access (IEEE Access), 2021
Matej Gazda
J. Gazda
J. Plávka
P. Drotár
SSL
292
65
0
04 Mar 2021
Deep Clustering by Semantic Contrastive Learning
Deep Clustering by Semantic Contrastive LearningBritish Machine Vision Conference (BMVC), 2021
Jiabo Huang
S. Gong
259
18
0
03 Mar 2021
Self-supervised Pretraining of Visual Features in the Wild
Self-supervised Pretraining of Visual Features in the Wild
Priya Goyal
Mathilde Caron
Benjamin Lefaudeux
Min Xu
Pengchao Wang
...
Mannat Singh
Vitaliy Liptchinsky
Ishan Misra
Armand Joulin
Piotr Bojanowski
VLMSSL
298
296
0
02 Mar 2021
Exploring Complementary Strengths of Invariant and Equivariant
  Representations for Few-Shot Learning
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot LearningComputer Vision and Pattern Recognition (CVPR), 2021
Mamshad Nayeem Rizve
Salman Khan
Fahad Shahbaz Khan
M. Shah
227
132
0
01 Mar 2021
Panoramic Panoptic Segmentation: Towards Complete Surrounding
  Understanding via Unsupervised Contrastive Learning
Panoramic Panoptic Segmentation: Towards Complete Surrounding Understanding via Unsupervised Contrastive Learning
A. Jaus
Kailun Yang
Rainer Stiefelhagen
178
37
0
01 Mar 2021
Self-Tuning for Data-Efficient Deep Learning
Self-Tuning for Data-Efficient Deep LearningInternational Conference on Machine Learning (ICML), 2021
Ximei Wang
Jing Gao
Mingsheng Long
Jianmin Wang
BDL
186
78
0
25 Feb 2021
Reinforcement Learning with Prototypical Representations
Reinforcement Learning with Prototypical RepresentationsInternational Conference on Machine Learning (ICML), 2021
Denis Yarats
Rob Fergus
A. Lazaric
Lerrel Pinto
SSL
322
246
0
22 Feb 2021
Provably Improved Context-Based Offline Meta-RL with Attention and
  Contrastive Learning
Provably Improved Context-Based Offline Meta-RL with Attention and Contrastive Learning
Lanqing Li
Yuanhao Huang
Mingzhe Chen
Siteng Luo
Dijun Luo
Junzhou Huang
OffRL
161
3
0
22 Feb 2021
MedAug: Contrastive learning leveraging patient metadata improves
  representations for chest X-ray interpretation
MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretationMachine Learning in Health Care (MLHC), 2021
Yen Nhi Truong Vu
Richard Wang
N. Balachandar
Can Liu
A. Ng
Pranav Rajpurkar
395
94
0
21 Feb 2021
Rethinking Content and Style: Exploring Bias for Unsupervised
  Disentanglement
Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement
Xuanchi Ren
Tao Yang
Yuwang Wang
Wenjun Zeng
CoGeDRL
147
10
0
21 Feb 2021
Learning Disentangled Representation by Exploiting Pretrained Generative
  Models: A Contrastive Learning View
Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning ViewInternational Conference on Learning Representations (ICLR), 2021
Xuanchi Ren
Tao Yang
Yuwang Wang
W. Zeng
CoGeOCLDRL
241
48
0
21 Feb 2021
Contrastive Learning Inverts the Data Generating Process
Contrastive Learning Inverts the Data Generating ProcessInternational Conference on Machine Learning (ICML), 2021
Roland S. Zimmermann
Yash Sharma
Steffen Schneider
Matthias Bethge
Wieland Brendel
SSL
688
250
0
17 Feb 2021
Instance Localization for Self-supervised Detection Pretraining
Instance Localization for Self-supervised Detection PretrainingComputer Vision and Pattern Recognition (CVPR), 2021
Ceyuan Yang
Zhirong Wu
Bolei Zhou
Stephen Lin
ViTSSL
384
156
0
16 Feb 2021
Understanding Negative Samples in Instance Discriminative
  Self-supervised Representation Learning
Understanding Negative Samples in Instance Discriminative Self-supervised Representation LearningNeural Information Processing Systems (NeurIPS), 2021
Kento Nozawa
Issei Sato
SSL
443
52
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-TuningNeural Information Processing Systems (NeurIPS), 2021
Yifan Zhang
Bryan Hooi
Dapeng Hu
Jian Liang
Jiashi Feng
208
76
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
160
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 LearningAAAI Conference on Artificial Intelligence (AAAI), 2021
Yu Liu
Lianghua Huang
Pan Pan
Bin Wang
Yinghui Xu
Rong Jin
SSL
171
3
0
09 Feb 2021
DetCo: Unsupervised Contrastive Learning for Object Detection
DetCo: Unsupervised Contrastive Learning for Object DetectionIEEE International Conference on Computer Vision (ICCV), 2021
Enze Xie
Jian Ding
Wenhai Wang
Xiaohang Zhan
Hang Xu
Peize Sun
Zhenguo Li
Ping Luo
248
351
0
09 Feb 2021
TraND: Transferable Neighborhood Discovery for Unsupervised Cross-domain
  Gait Recognition
TraND: Transferable Neighborhood Discovery for Unsupervised Cross-domain Gait RecognitionInternational Symposium on Circuits and Systems (ISCAS), 2021
Jinkai Zheng
Xinchen Liu
C. Yan
Jiyong Zhang
Wu Liu
Xiaoping Zhang
Tao Mei
CVBM
141
14
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 miningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Adrian Bulat
Enrique Sánchez-Lozano
Georgios Tzimiropoulos
148
7
0
08 Feb 2021
Quantifying and Mitigating Privacy Risks of Contrastive Learning
Quantifying and Mitigating Privacy Risks of Contrastive LearningConference on Computer and Communications Security (CCS), 2021
Xinlei He
Yang Zhang
278
59
0
08 Feb 2021
Semi-Supervised Action Recognition with Temporal Contrastive Learning
Semi-Supervised Action Recognition with Temporal Contrastive LearningComputer Vision and Pattern Recognition (CVPR), 2021
Ankit Singh
Omprakash Chakraborty
Ashutosh Varshney
Yikang Shen
Rogerio Feris
Kate Saenko
Abir Das
169
110
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 EstimationInternational Conference on Learning Representations (ICLR), 2021
Angtian Wang
Adam Kortylewski
Alan Yuille
3DH
222
52
0
29 Jan 2021
Exploring Cross-Image Pixel Contrast for Semantic Segmentation
Exploring Cross-Image Pixel Contrast for Semantic SegmentationIEEE International Conference on Computer Vision (ICCV), 2021
Wenguan Wang
Tianfei Zhou
Feng Yu
Jifeng Dai
E. Konukoglu
Luc Van Gool
457
538
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
177
13
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 SegmentationComputer Vision and Pattern Recognition (CVPR), 2021
Pan Zhang
Bo Zhang
Ting Zhang
Dong Chen
Yong Wang
Fang Wen
414
559
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
97
7
0
24 Jan 2021
Self-Adaptive Training: Bridging Supervised and Self-Supervised Learning
Self-Adaptive Training: Bridging Supervised and Self-Supervised LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Lang Huang
Chaoning Zhang
Hongyang R. Zhang
SSL
284
31
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 LearningComputer Vision and Pattern Recognition (CVPR), 2021
Zhaowei Cai
Avinash Ravichandran
Subhransu Maji
Charless C. Fowlkes
Zhuowen Tu
Stefano Soatto
329
146
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
590
16
0
19 Jan 2021
Unsupervised Noisy Tracklet Person Re-identification
Unsupervised Noisy Tracklet Person Re-identification
Minxian Li
Xiatian Zhu
S. Gong
183
1
0
16 Jan 2021
Big Self-Supervised Models Advance Medical Image Classification
Big Self-Supervised Models Advance Medical Image ClassificationIEEE International Conference on Computer Vision (ICCV), 2021
Shekoofeh Azizi
Basil Mustafa
Fiona Ryan
Zach Beaver
Jan Freyberg
...
Alan Karthikesalingam
Simon Kornblith
Ting-Li Chen
Vivek Natarajan
Mohammad Norouzi
SSL
356
627
0
13 Jan 2021
Learning to Anticipate Egocentric Actions by Imagination
Learning to Anticipate Egocentric Actions by ImaginationIEEE Transactions on Image Processing (TIP), 2020
Yu Wu
Linchao Zhu
Xiaohan Wang
Yi Yang
Leilei Gan
EgoV
306
74
0
13 Jan 2021
SEED: Self-supervised Distillation For Visual Representation
SEED: Self-supervised Distillation For Visual RepresentationInternational Conference on Learning Representations (ICLR), 2021
Zhiyuan Fang
Jianfeng Wang
Lijuan Wang
Lei Zhang
Yezhou Yang
Zicheng Liu
SSL
504
209
0
12 Jan 2021
Cross-Modal Contrastive Learning for Text-to-Image Generation
Cross-Modal Contrastive Learning for Text-to-Image GenerationComputer Vision and Pattern Recognition (CVPR), 2021
Han Zhang
Jing Yu Koh
Jason Baldridge
Honglak Lee
Yinfei Yang
GAN
524
418
0
12 Jan 2021
Self-Supervised Pretraining of 3D Features on any Point-Cloud
Self-Supervised Pretraining of 3D Features on any Point-CloudIEEE International Conference on Computer Vision (ICCV), 2021
Zaiwei Zhang
Rohit Girdhar
Armand Joulin
Ishan Misra
3DPC
451
319
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
254
344
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
112
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
160
2
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
159
58
0
26 Dec 2020
Few Shot Learning With No Labels
Few Shot Learning With No Labels
Aditya Bharti
V. Balasubramanian
C. V. Jawahar
VLM
168
4
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-IdentificationIEEE Transactions on Image Processing (TIP), 2020
Yongxing Dai
Jun Liu
Yan Bai
Zekun Tong
Ling-yu Duan
303
84
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
205
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
258
62
0
24 Dec 2020
Social NCE: Contrastive Learning of Socially-aware Motion
  Representations
Social NCE: Contrastive Learning of Socially-aware Motion RepresentationsIEEE International Conference on Computer Vision (ICCV), 2020
Yuejiang Liu
Qi Yan
Alexandre Alahi
516
115
0
21 Dec 2020
Camera-aware Proxies for Unsupervised Person Re-Identification
Camera-aware Proxies for Unsupervised Person Re-IdentificationAAAI Conference on Artificial Intelligence (AAAI), 2020
Menglin Wang
Baisheng Lai
Jianqiang Huang
Xiaojin Gong
Xiansheng Hua
303
216
0
19 Dec 2020
Leveraging Meta-path Contexts for Classification in Heterogeneous
  Information Networks
Leveraging Meta-path Contexts for Classification in Heterogeneous Information NetworksIEEE International Conference on Data Engineering (ICDE), 2020
Xiang Li
Danhao Ding
B. Kao
Luke Huan
N. Mamoulis
433
58
0
18 Dec 2020
Unsupervised Learning of Local Discriminative Representation for Medical
  Images
Unsupervised Learning of Local Discriminative Representation for Medical ImagesInformation Processing in Medical Imaging (IPMI), 2020
Huai Chen
Jieyu Li
Renzhen Wang
Yijie Huang
Fanrui Meng
Deyu Meng
Qing Peng
Lisheng Wang
SSL
150
8
0
17 Dec 2020
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