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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 / 2,003 papers shown
Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present
  and Future
Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present and Future
Guo-Jun Qi
M. Shah
SSL
156
8
0
23 Oct 2022
Neural Eigenfunctions Are Structured Representation Learners
Neural Eigenfunctions Are Structured Representation Learners
Zhijie Deng
Jiaxin Shi
Hao Zhang
Peng Cui
Cewu Lu
Jun Zhu
232
16
0
23 Oct 2022
Self-Supervised Pretraining on Satellite Imagery: a Case Study on
  Label-Efficient Vehicle Detection
Self-Supervised Pretraining on Satellite Imagery: a Case Study on Label-Efficient Vehicle Detection
Jules Bourcier
Thomas Floquet
G. Dashyan
Tugdual Ceillier
Alahari Karteek
Jocelyn Chanussot
SSL
127
2
0
21 Oct 2022
Self-Supervised Learning via Maximum Entropy Coding
Self-Supervised Learning via Maximum Entropy CodingNeural Information Processing Systems (NeurIPS), 2022
Xin Liu
Zhongdao Wang
Yali Li
Shengjin Wang
SSL
305
58
0
20 Oct 2022
SSiT: Saliency-guided Self-supervised Image Transformer for Diabetic
  Retinopathy Grading
SSiT: Saliency-guided Self-supervised Image Transformer for Diabetic Retinopathy GradingIEEE journal of biomedical and health informatics (IEEE JBHI), 2022
Yijin Huang
Junyan Lyu
Pujin Cheng
Roger Tam
Xiaoying Tang
ViTMedIm
389
33
0
20 Oct 2022
Does Learning from Decentralized Non-IID Unlabeled Data Benefit from
  Self Supervision?
Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision?International Conference on Learning Representations (ICLR), 2022
Lirui Wang
Jianchao Tan
Yunzhu Li
Yonglong Tian
Russ Tedrake
201
24
0
20 Oct 2022
A Unified View of Masked Image Modeling
A Unified View of Masked Image Modeling
Zhiliang Peng
Li Dong
Hangbo Bao
QiXiang Ye
Furu Wei
VLM
242
42
0
19 Oct 2022
Cross-Modal Fusion Distillation for Fine-Grained Sketch-Based Image
  Retrieval
Cross-Modal Fusion Distillation for Fine-Grained Sketch-Based Image RetrievalBritish Machine Vision Conference (BMVC), 2022
Abhra Chaudhuri
Goran Frehse
Yanbei Chen
Zeynep Akata
Anjan Dutta
239
7
0
19 Oct 2022
Rethinking Prototypical Contrastive Learning through Alignment,
  Uniformity and Correlation
Rethinking Prototypical Contrastive Learning through Alignment, Uniformity and CorrelationBritish Machine Vision Conference (BMVC), 2022
Shentong Mo
Zhun Sun
Chao Li
120
11
0
18 Oct 2022
MedCLIP: Contrastive Learning from Unpaired Medical Images and Text
MedCLIP: Contrastive Learning from Unpaired Medical Images and TextConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Zifeng Wang
Zhenbang Wu
Dinesh Agarwal
Jimeng Sun
CLIPVLMMedIm
386
736
0
18 Oct 2022
Non-Contrastive Learning Meets Language-Image Pre-Training
Non-Contrastive Learning Meets Language-Image Pre-TrainingComputer Vision and Pattern Recognition (CVPR), 2022
Jinghao Zhou
Li Dong
Zhe Gan
Lijuan Wang
Furu Wei
VLMCLIP
218
33
0
17 Oct 2022
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization
ZooD: Exploiting Model Zoo for Out-of-Distribution GeneralizationNeural Information Processing Systems (NeurIPS), 2022
Qishi Dong
Muhammad Awais
Fengwei Zhou
Chuanlong Xie
Tianyang Hu
Yongxin Yang
Sung-Ho Bae
Zhenguo Li
OODDVLM
205
16
0
17 Oct 2022
Correlation between Alignment-Uniformity and Performance of Dense
  Contrastive Representations
Correlation between Alignment-Uniformity and Performance of Dense Contrastive Representations
Jong Hak Moon
Wonjae Kim
Edward Choi
244
3
0
17 Oct 2022
Data-Model-Circuit Tri-Design for Ultra-Light Video Intelligence on Edge
  Devices
Data-Model-Circuit Tri-Design for Ultra-Light Video Intelligence on Edge DevicesAsia and South Pacific Design Automation Conference (ASP-DAC), 2022
Yimeng Zhang
A. Kamath
Qiucheng Wu
Zhiwen Fan
Wuyang Chen
Zinan Lin
Shiyu Chang
Sijia Liu
Cong Hao
267
6
0
16 Oct 2022
Self-Distillation for Unsupervised 3D Domain Adaptation
Self-Distillation for Unsupervised 3D Domain AdaptationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Adriano Cardace
Riccardo Spezialetti
Pierluigi Zama Ramirez
Samuele Salti
Luigi Di Stefano
3DPC
128
19
0
15 Oct 2022
Spatiotemporal Classification with limited labels using Constrained
  Clustering for large datasets
Spatiotemporal Classification with limited labels using Constrained Clustering for large datasetsSDM (SDM), 2022
Praveen Ravirathinam
Rahul Ghosh
Ke Wang
Keyang Xuan
A. Khandelwal
H. Dugan
Paul C. Hanson
Vipin Kumar
184
1
0
14 Oct 2022
The Hidden Uniform Cluster Prior in Self-Supervised Learning
The Hidden Uniform Cluster Prior in Self-Supervised LearningInternational Conference on Learning Representations (ICLR), 2022
Mahmoud Assran
Randall Balestriero
Quentin Duval
Florian Bordes
Ishan Misra
Piotr Bojanowski
Pascal Vincent
Michael G. Rabbat
Nicolas Ballas
SSL
231
62
0
13 Oct 2022
Evaluating the Label Efficiency of Contrastive Self-Supervised Learning
  for Multi-Resolution Satellite Imagery
Evaluating the Label Efficiency of Contrastive Self-Supervised Learning for Multi-Resolution Satellite ImageryRemote Sensing (RS), 2022
Jules Bourcier
G. Dashyan
Jocelyn Chanussot
Alahari Karteek
SSL
119
5
0
13 Oct 2022
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple
  Object Tracking
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object TrackingIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Tobias Fischer
Thomas E. Huang
Jiangmiao Pang
Linlu Qiu
Haofeng Chen
Trevor Darrell
Feng Yu
VOT
271
122
0
12 Oct 2022
Deep Active Ensemble Sampling For Image Classification
Deep Active Ensemble Sampling For Image ClassificationAsian Conference on Computer Vision (ACCV), 2022
S. Mohamadi
Gianfranco Doretto
Donald Adjeroh
UQCV
204
9
0
11 Oct 2022
Application of Deep Learning on Single-Cell RNA-sequencing Data
  Analysis: A Review
Application of Deep Learning on Single-Cell RNA-sequencing Data Analysis: A ReviewGenomics, Proteomics & Bioinformatics (GPB), 2022
M. Brendel
Chang Su
Zilong Bai
Hao Zhang
O. Elemento
Haiwei Yang
218
57
0
11 Oct 2022
Improving Dense Contrastive Learning with Dense Negative Pairs
Improving Dense Contrastive Learning with Dense Negative Pairs
Berk Iskender
Zhenlin Xu
Simon Kornblith
Enhung Chu
M. Khademi
SSL
141
2
0
11 Oct 2022
Multilingual Representation Distillation with Contrastive Learning
Multilingual Representation Distillation with Contrastive LearningConference of the European Chapter of the Association for Computational Linguistics (EACL), 2022
Weiting Tan
Kevin Heffernan
Holger Schwenk
Philipp Koehn
182
23
0
10 Oct 2022
Contrastive Bayesian Analysis for Deep Metric Learning
Contrastive Bayesian Analysis for Deep Metric LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Shichao Kan
Zhiquan He
Yigang Cen
Yang Li
Mladenovic Vladimir
Z. He
269
24
0
10 Oct 2022
ConTra: (Con)text (Tra)nsformer for Cross-Modal Video Retrieval
ConTra: (Con)text (Tra)nsformer for Cross-Modal Video RetrievalAsian Conference on Computer Vision (ACCV), 2022
A. Fragomeni
Michael Wray
Dima Damen
CLIPViT
158
4
0
09 Oct 2022
Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma
  Segmentation and Koos Grade Prediction based on Semi-Supervised Contrastive
  Learning
Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation and Koos Grade Prediction based on Semi-Supervised Contrastive Learning
Luyi Han
Yunzhi Huang
Longxuan Zhao
R. Mann
182
7
0
09 Oct 2022
Deep Span Representations for Named Entity Recognition
Deep Span Representations for Named Entity RecognitionAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Enwei Zhu
Yiyang Liu
Jinpeng Li
355
18
0
09 Oct 2022
SVL-Adapter: Self-Supervised Adapter for Vision-Language Pretrained
  Models
SVL-Adapter: Self-Supervised Adapter for Vision-Language Pretrained ModelsBritish Machine Vision Conference (BMVC), 2022
Omiros Pantazis
Gabriel J. Brostow
Kate E. Jones
Oisin Mac Aodha
VLM
236
50
0
07 Oct 2022
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps
Kuilin Chen
Chi-Guhn Lee
SSL
231
4
0
07 Oct 2022
Dual Clustering Co-teaching with Consistent Sample Mining for
  Unsupervised Person Re-Identification
Dual Clustering Co-teaching with Consistent Sample Mining for Unsupervised Person Re-Identification
Zeqi Chen
Zhichao Cui
Chi Zhang
Jiahuan Zhou
Yuehu Liu
NoLa
187
32
0
07 Oct 2022
RankMe: Assessing the downstream performance of pretrained
  self-supervised representations by their rank
RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rankInternational Conference on Machine Learning (ICML), 2022
Q. Garrido
Randall Balestriero
Laurent Najman
Yann LeCun
SSL
285
112
0
05 Oct 2022
Jitter Does Matter: Adapting Gaze Estimation to New Domains
Jitter Does Matter: Adapting Gaze Estimation to New Domains
Ruicong Liu
Yiwei Bao
Mingjie Xu
Haofei Wang
Yunfei Liu
Feng Lu
OOD
283
6
0
05 Oct 2022
Adaptively Weighted Data Augmentation Consistency Regularization for
  Robust Optimization under Concept Shift
Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept ShiftInternational Conference on Machine Learning (ICML), 2022
Yijun Dong
Yuege Xie
Rachel A. Ward
OOD
374
1
0
04 Oct 2022
Self-supervised Pre-training for Semantic Segmentation in an Indoor
  Scene
Self-supervised Pre-training for Semantic Segmentation in an Indoor Scene
Sulabh Shrestha
Yimeng Li
Jana Kosecka
3DPCSSLSSeg
263
3
0
04 Oct 2022
Contrastive Learning Can Find An Optimal Basis For Approximately
  View-Invariant Functions
Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant FunctionsInternational Conference on Learning Representations (ICLR), 2022
Daniel D. Johnson
Ayoub El Hanchi
Chris J. Maddison
SSL
289
31
0
04 Oct 2022
COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised
  3D Point Cloud Segmentation
COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation
Rong Li
Anh-Quan Cao
Raoul de Charette
3DV3DPC
379
17
0
04 Oct 2022
Attention Distillation: self-supervised vision transformer students need
  more guidance
Attention Distillation: self-supervised vision transformer students need more guidanceBritish Machine Vision Conference (BMVC), 2022
Kai Wang
Fei Yang
Joost van de Weijer
ViT
162
21
0
03 Oct 2022
Heterogeneous Graph Contrastive Multi-view Learning
Heterogeneous Graph Contrastive Multi-view LearningSDM (SDM), 2022
Zehong Wang
Qi Li
Donghua Yu
Xiaolong Han
Xiaohong Gao
Shigen Shen
212
50
0
01 Oct 2022
Slimmable Networks for Contrastive Self-supervised Learning
Slimmable Networks for Contrastive Self-supervised LearningInternational Journal of Computer Vision (IJCV), 2022
Shuai Zhao
Xiaohan Wang
Linchao Zhu
Yi Yang
210
4
0
30 Sep 2022
Minimalistic Unsupervised Learning with the Sparse Manifold Transform
Minimalistic Unsupervised Learning with the Sparse Manifold Transform
Yubei Chen
Zeyu Yun
Yi Ma
Bruno A. Olshausen
Yann LeCun
249
8
0
30 Sep 2022
Understanding Collapse in Non-Contrastive Siamese Representation
  Learning
Understanding Collapse in Non-Contrastive Siamese Representation LearningEuropean Conference on Computer Vision (ECCV), 2022
Alexander C. Li
Alexei A. Efros
Deepak Pathak
SSL
217
42
0
29 Sep 2022
Learning Deep Representations via Contrastive Learning for Instance
  Retrieval
Learning Deep Representations via Contrastive Learning for Instance RetrievalIEEE Symposium Series on Computational Intelligence (IEEE SSCI), 2022
Tao Wu
Tie-Mei Luo
D. Wunsch
SSLVLM
59
1
0
28 Sep 2022
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised
  Meta-Learning
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-LearningEuropean Conference on Computer Vision (ECCV), 2022
Xingping Dong
Jianbing Shen
Ling Shao
160
16
0
27 Sep 2022
Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with
  Extremely Limited Labels
Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited LabelsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Chenyu You
Weicheng Dai
Fenglin Liu
Yifei Min
Haoran Su
Xiaoran Zhang
Xiaoxiao Li
David Clifton
Lawrence H. Staib
James S. Duncan
699
86
0
27 Sep 2022
Dive into Self-Supervised Learning for Medical Image Analysis: Data,
  Models and Tasks
Dive into Self-Supervised Learning for Medical Image Analysis: Data, Models and Tasks
Chuyan Zhang
Yun Gu
307
0
0
25 Sep 2022
View-Invariant Skeleton-based Action Recognition via Global-Local
  Contrastive Learning
View-Invariant Skeleton-based Action Recognition via Global-Local Contrastive Learning
Cunling Bian
Wei Feng
Fanbo Meng
Song Wang
3DH
199
7
0
23 Sep 2022
LGDN: Language-Guided Denoising Network for Video-Language Modeling
LGDN: Language-Guided Denoising Network for Video-Language ModelingNeural Information Processing Systems (NeurIPS), 2022
Haoyu Lu
Mingyu Ding
Nanyi Fei
Yuqi Huo
Zhiwu Lu
VLM
282
19
0
23 Sep 2022
NamedMask: Distilling Segmenters from Complementary Foundation Models
NamedMask: Distilling Segmenters from Complementary Foundation Models
Gyungin Shin
Weidi Xie
Samuel Albanie
ISegVLM
246
24
0
22 Sep 2022
SR-GCL: Session-Based Recommendation with Global Context Enhanced
  Augmentation in Contrastive Learning
SR-GCL: Session-Based Recommendation with Global Context Enhanced Augmentation in Contrastive Learning
Eunkyu Oh
Taehun Kim
Minsoo Kim
Yunhu Ji
Sushil Khyalia
113
1
0
22 Sep 2022
Leveraging Local Patch Differences in Multi-Object Scenes for Generative
  Adversarial Attacks
Leveraging Local Patch Differences in Multi-Object Scenes for Generative Adversarial AttacksIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Abhishek Aich
Shasha Li
Chengyu Song
M. Salman Asif
S. Krishnamurthy
Amit K. Roy-Chowdhury
AAML
275
10
0
20 Sep 2022
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