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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
Interpretable Image Classification via Non-parametric Part Prototype Learning
Zhijie Zhu
Lei Fan
Maurice Pagnucco
Yang Song
123
0
0
13 Mar 2025
Implicit Contrastive Representation Learning with Guided Stop-gradient
Byeongchan Lee
Sehyun Lee
SSL
266
2
0
12 Mar 2025
Decoupled Doubly Contrastive Learning for Cross Domain Facial Action Unit Detection
Yong Li
Menglin Liu
Zhen Cui
Y. Ding
Yuan Zong
Wenming Zheng
Shiguang Shan
Cuntai Guan
100
0
0
12 Mar 2025
CleverDistiller: Simple and Spatially Consistent Cross-modal Distillation
Hariprasath Govindarajan
Maciej K. Wozniak
Marvin Klingner
Camille Maurice
B. R. Kiran
S. Yogamani
120
0
0
12 Mar 2025
A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive Learning
Chungpa Lee
Jeongheon Oh
Kibok Lee
Jy-yong Sohn
SSL
168
2
0
11 Mar 2025
Learning to Detect Objects from Multi-Agent LiDAR Scans without Manual Labels
Qiming Xia
Wenkai Lin
Haoen Xiang
Xun Huang
Siheng Chen
Z. Dong
Cheng-Yu Wang
Chenglu Wen
3DPCOffRL
482
0
0
11 Mar 2025
Removing Geometric Bias in One-Class Anomaly Detection with Adaptive Feature Perturbation
Romain Hermary
Vincent Gaudillière
Abd El Rahman Shabayek
Djamila Aouada
AAML
147
1
0
07 Mar 2025
Learning from Noisy Labels with Contrastive Co-Transformer
Yan Han
S. Roy
Mehrtash Harandi
L. Petersson
NoLa
106
0
0
04 Mar 2025
Random Walks in Self-supervised Learning for Triangular Meshes
Gal Yefet
A. Tal
SSL
110
0
0
02 Mar 2025
Exploring the Impact of Temperature Scaling in Softmax for Classification and Adversarial Robustness
Exploring the Impact of Temperature Scaling in Softmax for Classification and Adversarial Robustness
Hao Xuan
Bokai Yang
Xingyu Li
AAML
95
4
0
28 Feb 2025
Consistent Amortized Clustering via Generative Flow Networks
Consistent Amortized Clustering via Generative Flow Networks
Irit Chelly
Roy Uziel
Oren Freifeld
Ari Pakman
165
0
0
26 Feb 2025
MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations
MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations
Benedikt Alkin
Lukas Miklautz
Sepp Hochreiter
Johannes Brandstetter
VLM
257
8
0
24 Feb 2025
Feature Space Perturbation: A Panacea to Enhanced Transferability Estimation
Feature Space Perturbation: A Panacea to Enhanced Transferability Estimation
Prafful Kumar Khoba
Zijian Wang
Chetan Arora
Mahsa Baktashmotlagh
AAML
133
0
0
23 Feb 2025
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings
Asiri Wijesinghe
Hao Zhu
Piotr Koniusz
127
1
0
22 Feb 2025
Separated Contrastive Learning for Matching in Cross-domain Recommendation with Curriculum Scheduling
Heng Chang
Liang Gu
Cheng Hu
Zhinan Zhang
Hong Zhu
Yuhui Xu
Yuan Fang
Zhen Chen
103
0
0
22 Feb 2025
Nearshore Underwater Target Detection Meets UAV-borne Hyperspectral Remote Sensing: A Novel Hybrid-level Contrastive Learning Framework and Benchmark Dataset
Nearshore Underwater Target Detection Meets UAV-borne Hyperspectral Remote Sensing: A Novel Hybrid-level Contrastive Learning Framework and Benchmark Dataset
Jiahao Qi
Chuanhong Zhou
Xingyue Liu
Chen Chen
Dehui Zhu
Kangcheng Bin
Ping Zhong
106
0
0
21 Feb 2025
Without Paired Labeled Data: End-to-End Self-Supervised Learning for Drone-view Geo-Localization
Without Paired Labeled Data: End-to-End Self-Supervised Learning for Drone-view Geo-Localization
Zhongwei Chen
Zhao-Xu Yang
Hai-Jun Rong
SSL
136
1
0
17 Feb 2025
Simplifying DINO via Coding Rate Regularization
Simplifying DINO via Coding Rate Regularization
Ziyang Wu
Jingyuan Zhang
Druv Pai
Xinze Wang
Chandan Singh
Jianwei Yang
Jianfeng Gao
Yi-An Ma
552
1
0
17 Feb 2025
THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings
THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings
Bowen Deng
Tong Wang
Lele Fu
Sheng Huang
Chuan Chen
Tao Zhang
174
1
0
17 Feb 2025
A Self-Supervised Framework for Improved Generalisability in Ultrasound B-mode Image Segmentation
A Self-Supervised Framework for Improved Generalisability in Ultrasound B-mode Image Segmentation
Edward Ellis
A. Bulpitt
Nasim Parsa
Michael F Byrne
Sharib Ali
178
0
0
04 Feb 2025
Multi-level Supervised Contrastive Learning
Multi-level Supervised Contrastive Learning
Naghmeh Ghanooni
Barbod Pajoum
Harshit Rawal
Sophie Fellenz
Vo Nguyen Le Duy
Marius Kloft
215
0
0
04 Feb 2025
LEAD: Large Foundation Model for EEG-Based Alzheimer's Disease Detection
LEAD: Large Foundation Model for EEG-Based Alzheimer's Disease Detection
Yihe Wang
Nan Huang
Nadia Mammone
Marco Cecchi
Xiang Zhang
152
1
0
02 Feb 2025
How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning?
How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning?
Yiyi Zhang
Ying Zheng
Xiaogang Xu
Jun Wang
SSL
118
4
0
28 Jan 2025
With Great Backbones Comes Great Adversarial Transferability
With Great Backbones Comes Great Adversarial Transferability
Erik Arakelyan
Karen Hambardzumyan
Davit Papikyan
Pasquale Minervini
Albert Gordo
Isabelle Augenstein
Aram H. Markosyan
AAML
158
0
0
21 Jan 2025
A Simple Graph Contrastive Learning Framework for Short Text Classification
A Simple Graph Contrastive Learning Framework for Short Text Classification
Yuqi Liu
Fausto Giunchiglia
Lan Huang
Ximing Li
Xiaoyue Feng
Renchu Guan
126
0
0
17 Jan 2025
Learning to Assist Humans without Inferring Rewards
Learning to Assist Humans without Inferring Rewards
Vivek Myers
Evan Ellis
Sergey Levine
Benjamin Eysenbach
Anca Dragan
138
5
0
17 Jan 2025
Unlocking In-Context Learning for Natural Datasets Beyond Language Modelling
Unlocking In-Context Learning for Natural Datasets Beyond Language Modelling
Jelena Bratulić
Sudhanshu Mittal
David T. Hoffmann
Samuel Böhm
R. Schirrmeister
T. Ball
Christian Rupprecht
Thomas Brox
90
1
0
09 Jan 2025
Gaussian Masked Autoencoders
Gaussian Masked Autoencoders
Jathushan Rajasegaran
Xinlei Chen
Rulilong Li
Christoph Feichtenhofer
Jitendra Malik
Shiry Ginosar
3DGS
70
1
0
06 Jan 2025
Passive Non-Line-of-Sight Imaging with Light Transport Modulation
Passive Non-Line-of-Sight Imaging with Light Transport Modulation
Jiarui Zhang
Ruixu Geng
Xiaolong Du
Yan Chen
Houqiang Li
Yang Hu
181
3
0
03 Jan 2025
Phoneme-Level Contrastive Learning for User-Defined Keyword Spotting with Flexible Enrollment
Phoneme-Level Contrastive Learning for User-Defined Keyword Spotting with Flexible Enrollment
Li Kewei
Zhou Hengshun
Shen Kai
Dai Yusheng
Du Jun
108
3
0
31 Dec 2024
Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport
Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport
Bin Li
Ye-ling Shi
Qian Yu
Jingya Wang
OT
117
3
0
31 Dec 2024
A Simple Recipe for Contrastively Pre-training Video-First Encoders Beyond 16 Frames
A Simple Recipe for Contrastively Pre-training Video-First Encoders Beyond 16 Frames
Pinelopi Papalampidi
Skanda Koppula
Shreya Pathak
Justin T Chiu
Joseph Heyward
Viorica Patraucean
Jiajun Shen
Antoine Miech
Andrew Zisserman
Aida Nematzdeh
VLM
134
26
0
31 Dec 2024
The Dynamic Duo of Collaborative Masking and Target for Advanced Masked
  Autoencoder Learning
The Dynamic Duo of Collaborative Masking and Target for Advanced Masked Autoencoder Learning
Shentong Mo
100
0
0
23 Dec 2024
Enhancing Contrastive Learning Inspired by the Philosophy of "The Blind Men and the Elephant"
Enhancing Contrastive Learning Inspired by the Philosophy of "The Blind Men and the Elephant"
Yudong Zhang
Ruobing Xie
Jiansheng Chen
Xingwu Sun
Zhanhui Kang
Yu Wang
194
0
0
21 Dec 2024
CLDG: Contrastive Learning on Dynamic Graphs
CLDG: Contrastive Learning on Dynamic Graphs
Yiming Xu
Bin Shi
Teng Ma
Bo Dong
Haoyi Zhou
Qinghua Zheng
180
15
0
19 Dec 2024
CLDA-YOLO: Visual Contrastive Learning Based Domain Adaptive YOLO
  Detector
CLDA-YOLO: Visual Contrastive Learning Based Domain Adaptive YOLO Detector
Tianheng Qiu
Ka Lung Law
Guanghua Pan
Jufei Wang
Xin Gao
Xuan Huang
Hu Wei
138
0
0
16 Dec 2024
Motif Guided Graph Transformer with Combinatorial Skeleton Prototype Learning for Skeleton-Based Person Re-Identification
Motif Guided Graph Transformer with Combinatorial Skeleton Prototype Learning for Skeleton-Based Person Re-Identification
Haocong Rao
Chunyan Miao
184
1
0
12 Dec 2024
Neuron Abandoning Attention Flow: Visual Explanation of Dynamics inside
  CNN Models
Neuron Abandoning Attention Flow: Visual Explanation of Dynamics inside CNN Models
Yi Liao
Yongsheng Gao
Weichuan Zhang
100
0
0
02 Dec 2024
Learning Structured Representations with Hyperbolic Embeddings
Learning Structured Representations with Hyperbolic Embeddings
Aditya Sinha
Siqi Zeng
M. Yamada
Han Zhao
157
3
0
02 Dec 2024
MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic
  Segmentation Network For Relic Landslide Detection
MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection
Juefei He
Yuexing Peng
Wei Li
Junchuan Yu
Daqing Ge
Wei Xiang
85
0
0
26 Nov 2024
Probing the Mid-level Vision Capabilities of Self-Supervised Learning
Probing the Mid-level Vision Capabilities of Self-Supervised Learning
Xuweiyi Chen
Markus Marks
Zezhou Cheng
173
0
0
25 Nov 2024
DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders
DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders
Sizai Hou
Songze Li
Duanyi Yao
AAML
192
0
0
25 Nov 2024
PR-MIM: Delving Deeper into Partial Reconstruction in Masked Image
  Modeling
PR-MIM: Delving Deeper into Partial Reconstruction in Masked Image Modeling
Zhong-Yu Li
Yunheng Li
Deng-Ping Fan
Ming-Ming Cheng
177
0
0
24 Nov 2024
Anti-Forgetting Adaptation for Unsupervised Person Re-identification
Anti-Forgetting Adaptation for Unsupervised Person Re-identification
Hao Chen
Francois Bremond
Nicu Sebe
Shiliang Zhang
CLL
249
1
0
22 Nov 2024
Scalable Deep Metric Learning on Attributed Graphs
Scalable Deep Metric Learning on Attributed Graphs
Xiang Li
G. Agrawal
R. Jin
R. Ramnath
130
0
0
20 Nov 2024
CLIC: Contrastive Learning Framework for Unsupervised Image Complexity Representation
CLIC: Contrastive Learning Framework for Unsupervised Image Complexity Representation
Shipeng Liu
Liang Zhao
Dengfeng Chen
SSL
232
1
0
19 Nov 2024
Relational Contrastive Learning and Masked Image Modeling for Scene Text Recognition
T. Lin
Jinglei Zhang
Yi Xu
Kai Chen
Rui Zhang
Chong Chen
105
0
0
18 Nov 2024
Understanding the Role of Equivariance in Self-supervised Learning
Understanding the Role of Equivariance in Self-supervised Learning
Yifei Wang
Kaiwen Hu
Sharut Gupta
Ziyu Ye
Yisen Wang
Stefanie Jegelka
SSL
97
2
0
10 Nov 2024
Pattern Integration and Enhancement Vision Transformer for
  Self-Supervised Learning in Remote Sensing
Pattern Integration and Enhancement Vision Transformer for Self-Supervised Learning in Remote Sensing
Kaixuan Lu
Ruiqian Zhang
Xiao Huang
Yuxing Xie
Xiaogang Ning
Hanchao Zhang
Mengke Yuan
Pan Zhang
Tao Wang
Tongkui Liao
84
2
0
09 Nov 2024
IO Transformer: Evaluating SwinV2-Based Reward Models for Computer
  Vision
IO Transformer: Evaluating SwinV2-Based Reward Models for Computer Vision
Maxwell Meyer
Jack Spruyt
ViT
36
0
0
31 Oct 2024
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