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With a Little Help from My Friends: Nearest-Neighbor Contrastive
  Learning of Visual Representations
v1v2 (latest)

With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations

29 April 2021
Debidatta Dwibedi
Y. Aytar
Jonathan Tompson
P. Sermanet
Andrew Zisserman
    SSL
ArXiv (abs)PDFHTML

Papers citing "With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations"

50 / 282 papers shown
Title
Object Concepts Emerge from Motion
Object Concepts Emerge from Motion
H. Liang
Xiaohui Wang
Zhichao Li
Y. Yang
Naiyan Wang
VOSOCL
45
0
0
27 May 2025
Self-Organizing Visual Prototypes for Non-Parametric Representation Learning
Self-Organizing Visual Prototypes for Non-Parametric Representation Learning
T. Silva
Hélio Pedrini
Adín Ramirez Rivera
27
0
0
23 May 2025
SSPS: Self-Supervised Positive Sampling for Robust Self-Supervised Speaker Verification
SSPS: Self-Supervised Positive Sampling for Robust Self-Supervised Speaker Verification
Theo Lepage
Reda Dehak
69
1
0
20 May 2025
AdaDim: Dimensionality Adaptation for SSL Representational Dynamics
AdaDim: Dimensionality Adaptation for SSL Representational Dynamics
Kiran Kokilepersaud
Mohit Prabhushankar
Ghassan AlRegib
73
0
0
18 May 2025
seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models
seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models
Hafez Ghaemi
Eilif Muller
Shahab Bakhtiari
154
0
0
06 May 2025
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia
Valerie Zermatten
J. Castillo-Navarro
Pallavi Jain
D. Tuia
Diego Marcos
126
1
0
28 Apr 2025
Impact of Language Guidance: A Reproducibility Study
Impact of Language Guidance: A Reproducibility Study
Cherish Puniani
Advika Sinha
Shree Singhi
Aayan Yadav
VLM
194
0
0
10 Apr 2025
Evolutionary algorithms meet self-supervised learning: a comprehensive survey
Evolutionary algorithms meet self-supervised learning: a comprehensive survey
Adriano Vinhas
João Correia
Penousal Machado
SSLSyDa
125
0
0
09 Apr 2025
Variational Self-Supervised Learning
Variational Self-Supervised Learning
Mehmet Can Yavuz
Berrin Yanikoglu
SSL
176
0
0
06 Apr 2025
ChA-MAEViT: Unifying Channel-Aware Masked Autoencoders and Multi-Channel Vision Transformers for Improved Cross-Channel Learning
ChA-MAEViT: Unifying Channel-Aware Masked Autoencoders and Multi-Channel Vision Transformers for Improved Cross-Channel Learning
Chau Pham
Juan C. Caicedo
Bryan A. Plummer
73
0
0
25 Mar 2025
Conjuring Positive Pairs for Efficient Unification of Representation Learning and Image Synthesis
Conjuring Positive Pairs for Efficient Unification of Representation Learning and Image Synthesis
Imanol G. Estepa
Jesús M. Rodríguez-de-Vera
Ignacio Sarasúa
Bhalaji Nagarajan
Petia Radeva
184
0
0
19 Mar 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
251
8
0
24 Feb 2025
Time Series Embedding Methods for Classification Tasks: A Review
Time Series Embedding Methods for Classification Tasks: A Review
Habib Irani
Yasamin Ghahremani
Arshia Kermani
Vangelis Metsis
AI4TS
190
0
0
23 Jan 2025
Keypoint Aware Masked Image Modelling
Keypoint Aware Masked Image Modelling
Madhava Krishna
Convin.AI
124
0
0
03 Jan 2025
Adaptivity can help exponentially for shadow tomography
Adaptivity can help exponentially for shadow tomography
Sitan Chen
Weiyuan Gong
Zhihan Zhang
86
0
0
26 Dec 2024
WildPPG: A Real-World PPG Dataset of Long Continuous Recordings
WildPPG: A Real-World PPG Dataset of Long Continuous Recordings
Manuel Meier
B. U. Demirel
Christian Holz
58
1
0
23 Dec 2024
CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance
CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance
Chu Myaet Thwal
Ye Lin Tun
Minh N. H. Nguyen
Eui-nam Huh
Choong Seon Hong
VLM
163
0
0
05 Dec 2024
Gen-SIS: Generative Self-augmentation Improves Self-supervised Learning
Gen-SIS: Generative Self-augmentation Improves Self-supervised Learning
Varun Belagali
Srikar Yellapragada
Alexandros Graikos
S. Kapse
Zilinghan Li
Tarak Nandi
Ravi K. Madduri
Prateek Prasanna
Joel H. Saltz
Dimitris Samaras
DiffM
139
2
0
02 Dec 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
167
0
0
24 Nov 2024
Preventing Dimensional Collapse in Self-Supervised Learning via
  Orthogonality Regularization
Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization
Junlin He
Jinxiao Du
Wei Ma
SSL
113
1
0
01 Nov 2024
Preventing Model Collapse in Deep Canonical Correlation Analysis by
  Noise Regularization
Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization
Junlin He
Jinxiao Du
Susu Xu
Wei Ma
57
0
0
01 Nov 2024
HEX: Hierarchical Emergence Exploitation in Self-Supervised Algorithms
HEX: Hierarchical Emergence Exploitation in Self-Supervised Algorithms
Kiran Kokilepersaud
Seulgi Kim
Mohit Prabhushankar
Ghassan AlRegib
78
2
0
30 Oct 2024
ReMix: Training Generalized Person Re-identification on a Mixture of
  Data
ReMix: Training Generalized Person Re-identification on a Mixture of Data
Timur Mamedov
Anton Konushin
Vadim Konushin
58
1
0
29 Oct 2024
SigCLR: Sigmoid Contrastive Learning of Visual Representations
SigCLR: Sigmoid Contrastive Learning of Visual Representations
Ömer Veysel Çağatan
59
0
0
22 Oct 2024
Dynamic Contrastive Learning for Time Series Representation
Dynamic Contrastive Learning for Time Series Representation
Abdul-Kazeem Shamba
Kerstin Bach
Gavin Taylor
AI4TS
63
0
0
20 Oct 2024
Feature Augmentation for Self-supervised Contrastive Learning: A Closer
  Look
Feature Augmentation for Self-supervised Contrastive Learning: A Closer Look
Yong Zhang
Rui Zhu
Shifeng Zhang
Xu Zhou
Shifeng Chen
Xiaofan Chen
SSL
65
0
0
16 Oct 2024
LVD-2M: A Long-take Video Dataset with Temporally Dense Captions
LVD-2M: A Long-take Video Dataset with Temporally Dense Captions
Tianwei Xiong
Yuqing Wang
Daquan Zhou
Zhijie Lin
Jiashi Feng
Xihui Liu
VGen
106
10
0
14 Oct 2024
Sparks of Artificial General Intelligence(AGI) in Semiconductor Material
  Science: Early Explorations into the Next Frontier of Generative AI-Assisted
  Electron Micrograph Analysis
Sparks of Artificial General Intelligence(AGI) in Semiconductor Material Science: Early Explorations into the Next Frontier of Generative AI-Assisted Electron Micrograph Analysis
Sakhinana Sagar Srinivas
Geethan Sannidhi
Sreeja Gangasani
Chidaksh Ravuru
Venkataramana Runkana
86
0
0
17 Sep 2024
Explicit Mutual Information Maximization for Self-Supervised Learning
Explicit Mutual Information Maximization for Self-Supervised Learning
Lele Chang
Peilin Liu
Qinghai Guo
Fei Wen
SSL
75
0
0
07 Sep 2024
Contrastive Learning with Synthetic Positives
Contrastive Learning with Synthetic Positives
Dewen Zeng
Yawen Wu
Xinrong Hu
Xiaowei Xu
Yiyu Shi
SyDaSSL
133
1
0
30 Aug 2024
Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant
  for Semiconductor Electron Micrograph Analysis
Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant for Semiconductor Electron Micrograph Analysis
Sakhinana Sagar Srinivas
Geethan Sannidhi
Venkataramana Runkana
97
1
0
27 Aug 2024
Hierarchical Network Fusion for Multi-Modal Electron Micrograph
  Representation Learning with Foundational Large Language Models
Hierarchical Network Fusion for Multi-Modal Electron Micrograph Representation Learning with Foundational Large Language Models
Sakhinana Sagar Srinivas
Geethan Sannidhi
Venkataramana Runkana
99
0
0
24 Aug 2024
Preliminary Investigations of a Multi-Faceted Robust and Synergistic
  Approach in Semiconductor Electron Micrograph Analysis: Integrating Vision
  Transformers with Large Language and Multimodal Models
Preliminary Investigations of a Multi-Faceted Robust and Synergistic Approach in Semiconductor Electron Micrograph Analysis: Integrating Vision Transformers with Large Language and Multimodal Models
Sakhinana Sagar Srinivas
Geethan Sannidhi
Sreeja Gangasani
Chidaksh Ravuru
Venkataramana Runkana
99
0
0
24 Aug 2024
Vision HgNN: An Electron-Micrograph is Worth Hypergraph of Hypernodes
Vision HgNN: An Electron-Micrograph is Worth Hypergraph of Hypernodes
Sakhinana Sagar Srinivas
Rajat Kumar Sarkar
Sreeja Gangasani
Venkataramana Runkana
100
2
0
21 Aug 2024
EEG-SCMM: Soft Contrastive Masked Modeling for Cross-Corpus EEG-Based
  Emotion Recognition
EEG-SCMM: Soft Contrastive Masked Modeling for Cross-Corpus EEG-Based Emotion Recognition
Qile Liu
Weishan Ye
Yulu Liu
Zhen Liang
100
0
0
17 Aug 2024
Bootstrap Latents of Nodes and Neighbors for Graph Self-Supervised
  Learning
Bootstrap Latents of Nodes and Neighbors for Graph Self-Supervised Learning
Yunhui Liu
Huaisong Zhang
Tieke He
Tao Zheng
Jianhua Zhao
SSL
75
6
0
09 Aug 2024
Unsupervised Representation Learning by Balanced Self Attention Matching
Unsupervised Representation Learning by Balanced Self Attention Matching
Daniel Shalam
Simon Korman
SSL
102
0
0
04 Aug 2024
Text-Guided Video Masked Autoencoder
Text-Guided Video Masked Autoencoder
D. Fan
Jue Wang
Shuai Liao
Zhikang Zhang
Vimal Bhat
Xinyu Li
VGen
57
3
0
01 Aug 2024
Aligning Sight and Sound: Advanced Sound Source Localization Through
  Audio-Visual Alignment
Aligning Sight and Sound: Advanced Sound Source Localization Through Audio-Visual Alignment
Arda Senocak
H. Ryu
Junsik Kim
Tae-Hyun Oh
Hanspeter Pfister
Joon Son Chung
111
4
0
18 Jul 2024
Efficient Unsupervised Visual Representation Learning with Explicit
  Cluster Balancing
Efficient Unsupervised Visual Representation Learning with Explicit Cluster Balancing
Ioannis Maniadis Metaxas
Georgios Tzimiropoulos
Ioannis Patras
SSL
102
0
0
15 Jul 2024
STARS: Self-supervised Tuning for 3D Action Recognition in Skeleton
  Sequences
STARS: Self-supervised Tuning for 3D Action Recognition in Skeleton Sequences
Soroush Mehraban
Mohammad Javad Rajabi
Babak Taati
3DPC
93
1
0
15 Jul 2024
Precision at Scale: Domain-Specific Datasets On-Demand
Precision at Scale: Domain-Specific Datasets On-Demand
Jesús M. Rodríguez-de-Vera
Imanol G. Estepa
Ignacio Sarasúa
Bhalaji Nagarajan
Petia Radeva
87
2
0
03 Jul 2024
Learning from Memory: Non-Parametric Memory Augmented Self-Supervised
  Learning of Visual Features
Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features
T. Silva
Hélio Pedrini
Adín Ramírez Rivera
SSL
57
4
0
03 Jul 2024
A Generic Method for Fine-grained Category Discovery in Natural Language Texts
A Generic Method for Fine-grained Category Discovery in Natural Language Texts
Chang Tian
Matthew B. Blaschko
Wenpeng Yin
Mingzhe Xing
Yinliang Yue
Marie-Francine Moens
157
2
0
18 Jun 2024
Latent Representation Matters: Human-like Sketches in One-shot Drawing
  Tasks
Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks
Victor Boutin
Rishav Mukherji
Aditya Agrawal
Sabine Muzellec
Thomas Fel
Thomas Serre
Rufin VanRullen
DiffM
135
1
0
10 Jun 2024
An Unsupervised Approach for Periodic Source Detection in Time Series
An Unsupervised Approach for Periodic Source Detection in Time Series
B. U. Demirel
Christian Holz
AI4TS
66
1
0
01 Jun 2024
Efficient Open Set Single Image Test Time Adaptation of Vision Language Models
Efficient Open Set Single Image Test Time Adaptation of Vision Language Models
Manogna Sreenivas
Soma Biswas
VLM
76
0
0
01 Jun 2024
Self-Supervised Learning Based Handwriting Verification
Self-Supervised Learning Based Handwriting Verification
Mihir Chauhan
Mohammad Abuzar Shaikh
Abhishek Satbhai
Mir Basheer Ali
B. Ramamurthy
Mingchen Gao
Siwei Lyu
Sargur Srihari
76
2
0
28 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
73
2
0
28 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
161
23
0
24 May 2024
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