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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 / 1,919 papers shown
Title
Multi-Grained Contrast for Data-Efficient Unsupervised Representation
  Learning
Multi-Grained Contrast for Data-Efficient Unsupervised Representation Learning
Chengchao Shen
Jianzhong Chen
Jianxin Wang
SSL
31
0
0
02 Jul 2024
A Survey on Deep Clustering: From the Prior Perspective
A Survey on Deep Clustering: From the Prior Perspective
Yiding Lu
Haobin Li
Yunfan Li
Yijie Lin
Xi Peng
35
5
0
28 Jun 2024
WV-Net: A foundation model for SAR WV-mode satellite imagery trained
  using contrastive self-supervised learning on 10 million images
WV-Net: A foundation model for SAR WV-mode satellite imagery trained using contrastive self-supervised learning on 10 million images
Yannik Glaser
J. Stopa
Linnea M. Wolniewicz
Ralph Foster
Doug Vandemark
A. Mouche
Bertrand Chapron
Peter Sadowski
25
1
0
26 Jun 2024
AlignedCut: Visual Concepts Discovery on Brain-Guided Universal Feature
  Space
AlignedCut: Visual Concepts Discovery on Brain-Guided Universal Feature Space
Huzheng Yang
James Gee
Jianbo Shi
VOS
29
1
0
26 Jun 2024
ConStyle v2: A Strong Prompter for All-in-One Image Restoration
ConStyle v2: A Strong Prompter for All-in-One Image Restoration
Dongqi Fan
Junhao Zhang
Liang Chang
VLM
32
2
0
26 Jun 2024
Contrastive General Graph Matching with Adaptive Augmentation Sampling
Contrastive General Graph Matching with Adaptive Augmentation Sampling
Jianyuan Bo
Yuan Fang
16
1
0
25 Jun 2024
InterCLIP-MEP: Interactive CLIP and Memory-Enhanced Predictor for
  Multi-modal Sarcasm Detection
InterCLIP-MEP: Interactive CLIP and Memory-Enhanced Predictor for Multi-modal Sarcasm Detection
Junjie Chen
Hang Yu
Weidong Liu
Subin Huang
Sanmin Liu
26
2
0
24 Jun 2024
DV-3DLane: End-to-end Multi-modal 3D Lane Detection with Dual-view
  Representation
DV-3DLane: End-to-end Multi-modal 3D Lane Detection with Dual-view Representation
Yueru Luo
Shuguang Cui
Zhen Li
46
8
0
23 Jun 2024
DN-CL: Deep Symbolic Regression against Noise via Contrastive Learning
DN-CL: Deep Symbolic Regression against Noise via Contrastive Learning
Jingyi Liu
Yanjie Li
Lina Yu
Min Wu
Weijun Li
Wenqiang Li
Meilan Hao
Yusong Deng
Shu Wei
36
0
0
21 Jun 2024
Revisiting Modularity Maximization for Graph Clustering: A Contrastive
  Learning Perspective
Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective
Yunfei Liu
Jintang Li
Yuehe Chen
Ruofan Wu
Ericbk Wang
...
Shuheng Shen
Xing Fu
Changhua Meng
Weiqiang Wang
Liang Chen
24
9
0
20 Jun 2024
Mixing Natural and Synthetic Images for Robust Self-Supervised
  Representations
Mixing Natural and Synthetic Images for Robust Self-Supervised Representations
Reza Akbarian Bafghi
Nidhin Harilal
C. Monteleoni
M. Raissi
DiffM
33
0
0
18 Jun 2024
Mix-Domain Contrastive Learning for Unpaired H&E-to-IHC Stain
  Translation
Mix-Domain Contrastive Learning for Unpaired H&E-to-IHC Stain Translation
Song Wang
Zhong Zhang
Huan Yan
Ming Xu
Guanghui Wang
22
2
0
17 Jun 2024
On the Effectiveness of Supervision in Asymmetric Non-Contrastive
  Learning
On the Effectiveness of Supervision in Asymmetric Non-Contrastive Learning
Jeongheon Oh
Kibok Lee
SSL
35
1
0
16 Jun 2024
Occam's Razor for Self Supervised Learning: What is Sufficient to Learn
  Good Representations?
Occam's Razor for Self Supervised Learning: What is Sufficient to Learn Good Representations?
Mark Ibrahim
David Klindt
Randall Balestriero
SSL
56
2
1
15 Jun 2024
SemanticMIM: Marring Masked Image Modeling with Semantics Compression
  for General Visual Representation
SemanticMIM: Marring Masked Image Modeling with Semantics Compression for General Visual Representation
Yike Yuan
Huanzhang Dou
Fengjun Guo
Xi Li
31
2
0
15 Jun 2024
Self-supervised Adversarial Training of Monocular Depth Estimation
  against Physical-World Attacks
Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World Attacks
Zhiyuan Cheng
Cheng Han
James Liang
Qifan Wang
Xiangyu Zhang
Dongfang Liu
AAML
32
4
0
09 Jun 2024
ProMotion: Prototypes As Motion Learners
ProMotion: Prototypes As Motion Learners
Yawen Lu
Dongfang Liu
Qifan Wang
Cheng Han
Yiming Cui
Zhiwen Cao
Xueling Zhang
Yingjie Victor Chen
Heng Fan
DiffM
38
2
0
07 Jun 2024
Skill-aware Mutual Information Optimisation for Generalisation in
  Reinforcement Learning
Skill-aware Mutual Information Optimisation for Generalisation in Reinforcement Learning
Xuehui Yu
Mhairi Dunion
Xin Li
Stefano V. Albrecht
25
2
0
07 Jun 2024
Confidence-aware Contrastive Learning for Selective Classification
Confidence-aware Contrastive Learning for Selective Classification
Yu-Chang Wu
Shen-Huan Lyu
Haopu Shang
Xiangyu Wang
Chao Qian
27
3
0
07 Jun 2024
Enhancing 2D Representation Learning with a 3D Prior
Enhancing 2D Representation Learning with a 3D Prior
Mehmet Aygun
Prithviraj Dhar
Zhicheng Yan
Oisin Mac Aodha
Rakesh Ranjan
SSL
51
1
0
04 Jun 2024
Exploring Effects of Hyperdimensional Vectors for Tsetlin Machines
Exploring Effects of Hyperdimensional Vectors for Tsetlin Machines
Vojtech Halenka
A. K. Kadhim
Paul F. A. Clarke
Bimal Bhattarai
Rupsa Saha
Ole-Christoffer Granmo
Lei Jiao
Per-Arne Andersen
45
2
0
04 Jun 2024
Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene
  Classification
Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene Classification
M. A. Ma'sum
Mahardhika Pratama
Ramasamy Savitha
Lin Liu
Habibullah Habibullah
Ryszard Kowalczyk
CLL
44
2
0
04 Jun 2024
Dual-perspective Cross Contrastive Learning in Graph Transformers
Dual-perspective Cross Contrastive Learning in Graph Transformers
Zelin Yao
Chuang Liu
Xueqi Ma
Mukun Chen
Jia Wu
Xiantao Cai
Bo Du
Wenbin Hu
43
0
0
01 Jun 2024
MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under
  Distribution Shifts
MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts
Renchunzi Xie
Ambroise Odonnat
Vasilii Feofanov
Weijian Deng
Jianfeng Zhang
Bo An
46
2
0
29 May 2024
Anomaly Detection by Context Contrasting
Anomaly Detection by Context Contrasting
Alain Ryser
Thomas M. Sutter
Alexander Marx
Julia E. Vogt
43
0
0
29 May 2024
EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision
EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision
Yiting Dong
Xiang-Yu He
Guobin Shen
Dongcheng Zhao
Yang Li
Yi Zeng
35
0
0
29 May 2024
Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning:
  From InfoNCE to Kernel-Based Losses
Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses
Panagiotis Koromilas
Giorgos Bouritsas
Theodoros Giannakopoulos
M. Nicolaou
Yannis Panagakis
32
0
0
28 May 2024
Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking
  Contrastive Learning and Unassociated Word Exclusion
Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion
Xiaobao Wu
Xinshuai Dong
Liangming Pan
Thong Nguyen
A. Luu
51
13
0
28 May 2024
Relational Self-supervised Distillation with Compact Descriptors for
  Image Copy Detection
Relational Self-supervised Distillation with Compact Descriptors for Image Copy Detection
Juntae Kim
Sungwon Woo
Jongho Nang
34
1
0
28 May 2024
Gradually Vanishing Gap in Prototypical Network for Unsupervised Domain
  Adaptation
Gradually Vanishing Gap in Prototypical Network for Unsupervised Domain Adaptation
Shanshan Wang
Hao Zhou
Xun Yang
Zhenwei He
Meng Wang
Xingyi Zhang
Meng Wang
24
0
0
28 May 2024
Instruct-ReID++: Towards Universal Purpose Instruction-Guided Person Re-identification
Instruct-ReID++: Towards Universal Purpose Instruction-Guided Person Re-identification
Weizhen He
Yiheng Deng
Yunfeng Yan
Feng Zhu
Yizhou Wang
Lei Bai
Qingsong Xie
Donglian Qi
Wanli Ouyang
Shixiang Tang
93
2
0
28 May 2024
A Recipe for Unbounded Data Augmentation in Visual Reinforcement
  Learning
A Recipe for Unbounded Data Augmentation in Visual Reinforcement Learning
Abdulaziz Almuzairee
Nicklas Hansen
Henrik I. Christensen
40
6
0
27 May 2024
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based
  Approach
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach
Huy V. Vo
Vasil Khalidov
Timothée Darcet
Théo Moutakanni
Nikita Smetanin
...
Maxime Oquab
Armand Joulin
Hervé Jégou
Patrick Labatut
Piotr Bojanowski
SSL
53
18
0
24 May 2024
Dynamic Identity-Guided Attention Network for Visible-Infrared Person
  Re-identification
Dynamic Identity-Guided Attention Network for Visible-Infrared Person Re-identification
Peng Gao
Yujian Lee
Hui Zhang
Xubo Liu
Yiyang Hu
Guquan Jing
27
1
0
21 May 2024
EmInspector: Combating Backdoor Attacks in Federated Self-Supervised
  Learning Through Embedding Inspection
EmInspector: Combating Backdoor Attacks in Federated Self-Supervised Learning Through Embedding Inspection
Yuwen Qian
Shuchi Wu
Kang Wei
Ming Ding
Di Xiao
Tao Xiang
Chuan Ma
Song Guo
FedML
AAML
38
0
0
21 May 2024
EPL: Empirical Prototype Learning for Deep Face Recognition
EPL: Empirical Prototype Learning for Deep Face Recognition
Weijia Fan
Jiajun Wen
Xi Jia
Linlin Shen
Jiancan Zhou
Qiufu Li
VLM
74
3
0
21 May 2024
DINO as a von Mises-Fisher mixture model
DINO as a von Mises-Fisher mixture model
Hariprasath Govindarajan
Per Sidén
Jacob Roll
Fredrik Lindsten
34
11
0
17 May 2024
Enhancing Semantics in Multimodal Chain of Thought via Soft Negative
  Sampling
Enhancing Semantics in Multimodal Chain of Thought via Soft Negative Sampling
Guangmin Zheng
Jin Wang
Xiaobing Zhou
Xuejie Zhang
LRM
30
2
0
16 May 2024
A Survey of Generative Techniques for Spatial-Temporal Data Mining
A Survey of Generative Techniques for Spatial-Temporal Data Mining
Qianru Zhang
Haixin Wang
Cheng Long
Liangcai Su
Xingwei He
...
Tailin Wu
Hongzhi Yin
S. Yiu
Qi Tian
Christian S. Jensen
AI4TS
52
7
0
15 May 2024
DDPM-MoCo: Advancing Industrial Surface Defect Generation and Detection
  with Generative and Contrastive Learning
DDPM-MoCo: Advancing Industrial Surface Defect Generation and Detection with Generative and Contrastive Learning
Yangfan He
Xinyan Wang
Tianyu Shi
49
6
0
09 May 2024
S3Former: Self-supervised High-resolution Transformer for Solar PV Profiling
S3Former: Self-supervised High-resolution Transformer for Solar PV Profiling
Minh-Triet Tran
Adrian de Luis
Haitao Liao
Ying Huang
Roy McCann
Alan Mantooth
Jack Cothren
Ngan Le
82
0
0
07 May 2024
A Generalization Theory of Cross-Modality Distillation with Contrastive
  Learning
A Generalization Theory of Cross-Modality Distillation with Contrastive Learning
Hangyu Lin
Chen Liu
Chengming Xu
Zhengqi Gao
Yanwei Fu
Yuan Yao
VLM
36
0
0
06 May 2024
Self-Supervised Learning for Interventional Image Analytics: Towards
  Robust Device Trackers
Self-Supervised Learning for Interventional Image Analytics: Towards Robust Device Trackers
Saahil Islam
Venkatesh N. Murthy
Dominik Neumann
B. K. Das
Puneet Sharma
Andreas K. Maier
D. Comaniciu
Florin-Cristian Ghesu
29
1
0
02 May 2024
UniGen: Universal Domain Generalization for Sentiment Classification via
  Zero-shot Dataset Generation
UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation
Juhwan Choi
Yeonghwa Kim
Seunguk Yu
Jungmin Yun
Youngbin Kim
39
1
0
02 May 2024
Deep Metric Learning-Based Out-of-Distribution Detection with Synthetic
  Outlier Exposure
Deep Metric Learning-Based Out-of-Distribution Detection with Synthetic Outlier Exposure
Assefa Seyoum Wahd
50
0
0
01 May 2024
On Improving the Algorithm-, Model-, and Data- Efficiency of
  Self-Supervised Learning
On Improving the Algorithm-, Model-, and Data- Efficiency of Self-Supervised Learning
Yunhao Cao
Jianxin Wu
33
0
0
30 Apr 2024
Integrating Present and Past in Unsupervised Continual Learning
Integrating Present and Past in Unsupervised Continual Learning
Yipeng Zhang
Laurent Charlin
R. Zemel
Mengye Ren
CLL
27
2
0
29 Apr 2024
Deep Boosting Learning: A Brand-new Cooperative Approach for Image-Text
  Matching
Deep Boosting Learning: A Brand-new Cooperative Approach for Image-Text Matching
Haiwen Diao
Ying Zhang
Shang Gao
Xiang Ruan
Huchuan Lu
36
3
0
28 Apr 2024
Improving Smart Contract Security with Contrastive Learning-based
  Vulnerability Detection
Improving Smart Contract Security with Contrastive Learning-based Vulnerability Detection
Yizhou Chen
Zeyu Sun
Zhihao Gong
Dan Hao
AAML
28
14
0
27 Apr 2024
Self-supervised visual learning in the low-data regime: a comparative
  evaluation
Self-supervised visual learning in the low-data regime: a comparative evaluation
Sotirios Konstantakos
Despina Ioanna Chalkiadaki
Ioannis Mademlis
Yuki M. Asano
E. Gavves
Georgios Th. Papadopoulos
29
6
0
26 Apr 2024
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