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Self-Supervised Learning of Pretext-Invariant Representations

Self-Supervised Learning of Pretext-Invariant Representations

Computer Vision and Pattern Recognition (CVPR), 2019
4 December 2019
Ishan Misra
Laurens van der Maaten
    SSLVLM
ArXiv (abs)PDFHTML

Papers citing "Self-Supervised Learning of Pretext-Invariant Representations"

50 / 922 papers shown
Title
MUSE: Multi-Scale Dense Self-Distillation for Nucleus Detection and Classification
MUSE: Multi-Scale Dense Self-Distillation for Nucleus Detection and Classification
Zijiang Yang
Hanqing Chao
Bokai Zhao
Yelin Yang
Yunshuo Zhang
...
K. Yan
Dakai Jin
Minfeng Xu
Yun Bian
Hui Jiang
289
0
0
07 Nov 2025
SiamMM: A Mixture Model Perspective on Deep Unsupervised Learning
SiamMM: A Mixture Model Perspective on Deep Unsupervised Learning
Xiaodong Wang
Jing Huang
Kevin J. Liang
SSL
433
0
0
07 Nov 2025
C-LEAD: Contrastive Learning for Enhanced Adversarial Defense
C-LEAD: Contrastive Learning for Enhanced Adversarial Defense
Suklav Ghosh
Sonal Kumar
Arijit Sur
AAML
144
1
0
31 Oct 2025
T-REGS: Minimum Spanning Tree Regularization for Self-Supervised Learning
T-REGS: Minimum Spanning Tree Regularization for Self-Supervised Learning
Julie Mordacq
David Loiseaux
Vicky Kalogeiton
S. Oudot
122
0
0
27 Oct 2025
Toward Efficient Inference Attacks: Shadow Model Sharing via Mixture-of-Experts
Toward Efficient Inference Attacks: Shadow Model Sharing via Mixture-of-Experts
Li Bai
Qingqing Ye
Xinwei Zhang
Sen Zhang
Zi Liang
Jianliang Xu
Haibo Hu
FedMLMIACVMoE
315
0
0
15 Oct 2025
SS-DPPN: A self-supervised dual-path foundation model for the generalizable cardiac audio representation
SS-DPPN: A self-supervised dual-path foundation model for the generalizable cardiac audio representation
Ummy Maria Muna
Md. Mehedi Hasan Shawon
Md Jobayer
Sumaiya Akter
Md Rakibul Hasan
Md. Golam Rabiul Alam
76
0
0
12 Oct 2025
Structured Spectral Graph Representation Learning for Multi-label Abnormality Analysis from 3D CT Scans
Structured Spectral Graph Representation Learning for Multi-label Abnormality Analysis from 3D CT Scans
Theo Di Piazza
Carole Lazarus
O. Nempont
L. Boussel
219
0
0
12 Oct 2025
Enhancing Self-Supervised Learning with Semantic Pairs A New Dataset and Empirical Study
Enhancing Self-Supervised Learning with Semantic Pairs A New Dataset and Empirical Study
Mohammad Alkhalefi
Georgios Leontidis
Mingjun Zhong
SSL
286
0
0
09 Oct 2025
Unsupervised Transformer Pre-Training for Images: Self-Distillation, Mean Teachers, and Random Crops
Unsupervised Transformer Pre-Training for Images: Self-Distillation, Mean Teachers, and Random Crops
Mattia Scardecchia
ViT
157
0
0
04 Oct 2025
Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification
Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification
Zinan Lin
Enshu Liu
Xuefei Ning
Junyi Zhu
Wenyu Wang
Sergey Yekhanin
AI4CE
229
0
0
19 Sep 2025
Unsupervised Training of Vision Transformers with Synthetic Negatives
Unsupervised Training of Vision Transformers with Synthetic Negatives
Nikolaos Giakoumoglou
Andreas Floros
Kleanthis Marios Papadopoulos
Tania Stathaki
ViT
121
0
0
02 Sep 2025
Selective Contrastive Learning for Weakly Supervised Affordance Grounding
Selective Contrastive Learning for Weakly Supervised Affordance Grounding
WonJun Moon
Hyun Seok Seong
Jae-Pil Heo
108
1
0
11 Aug 2025
Emerging Trends in Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation with Image-Level Supervision
Emerging Trends in Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation with Image-Level Supervision
Zheyuan Zhang
Wang Zhang
155
0
0
29 Jul 2025
Franca: Nested Matryoshka Clustering for Scalable Visual Representation Learning
Franca: Nested Matryoshka Clustering for Scalable Visual Representation Learning
Shashanka Venkataramanan
Valentinos Pariza
Mohammadreza Salehi
Lukas Knobel
Spyros Gidaris
Elias Ramzi
Andrei Bursuc
Yuki M. Asano
227
7
0
18 Jul 2025
Self-supervised Representation Learning with Local Aggregation for Image-based Profiling
Self-supervised Representation Learning with Local Aggregation for Image-based Profiling
Siran Dai
Qianqian Xu
Peisong Wen
Yang Liu
Qingming Huang
271
2
0
17 Jun 2025
Uncertainty Awareness Enables Efficient Labeling for Cancer Subtyping in Digital Pathology
Uncertainty Awareness Enables Efficient Labeling for Cancer Subtyping in Digital PathologyIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2025
Nirhoshan Sivaroopan
Chamuditha Jayanga Galappaththige
Chalani Ekanayake
Hasindri Watawana
Ranga Rodrigo
Chamira U. S. Edussooriya
D. Wadduwage
198
0
0
13 Jun 2025
Self-Supervised Learning for Image Segmentation: A Comprehensive Survey
Self-Supervised Learning for Image Segmentation: A Comprehensive Survey
Thangarajah Akilan
Nusrat Jahan
Tianlei Wang
SSL
346
1
0
19 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
490
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Boosting Generative Image Modeling via Joint Image-Feature Synthesis
Boosting Generative Image Modeling via Joint Image-Feature Synthesis
Theodoros Kouzelis
Efstathios Karypidis
Ioannis Kakogeorgiou
Spyros Gidaris
N. Komodakis
DiffM
260
14
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22 Apr 2025
Self-Supervised Pre-training with Combined Datasets for 3D Perception in Autonomous Driving
Self-Supervised Pre-training with Combined Datasets for 3D Perception in Autonomous Driving
Shumin Wang
Zhuoran Yang
Liwen Wang
ZhiPeng Tang
Heng Li
Lehan Pan
Sha Zhang
Jie Peng
Jianmin Ji
Y. Zhang
3DPC
275
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AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images
AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic ImagesAAAI Conference on Artificial Intelligence (AAAI), 2025
Yihang Liu
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Y. Wen
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MedIm
373
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Evolutionary Machine Learning meets Self-Supervised Learning: a comprehensive survey
Evolutionary Machine Learning meets Self-Supervised Learning: a comprehensive survey
Adriano Vinhas
João Correia
Penousal Machado
SSLSyDa
420
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0
09 Apr 2025
Scaling Language-Free Visual Representation Learning
Scaling Language-Free Visual Representation Learning
David Fan
Shengbang Tong
Jiachen Zhu
Koustuv Sinha
Zhuang Liu
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Michael G. Rabbat
Nicolas Ballas
Yann LeCun
Amir Bar
Saining Xie
CLIPVLM
423
37
0
01 Apr 2025
Cal or No Cal? -- Real-Time Miscalibration Detection of LiDAR and Camera Sensors
Cal or No Cal? -- Real-Time Miscalibration Detection of LiDAR and Camera Sensors
Ilir Tahiraj
Jeremialie Swadiryus
F. Fent
Markus Lienkamp
282
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0
31 Mar 2025
Utilization of Neighbor Information for Image Classification with Different Levels of Supervision
Utilization of Neighbor Information for Image Classification with Different Levels of Supervision
Gihan Jayatilaka
Abhinav Shrivastava
M. Gwilliam
313
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0
18 Mar 2025
Implicit Contrastive Representation Learning with Guided Stop-gradientNeural Information Processing Systems (NeurIPS), 2025
Byeongchan Lee
Sehyun Lee
SSL
391
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12 Mar 2025
CL-MVSNet: Unsupervised Multi-view Stereo with Dual-level Contrastive LearningIEEE International Conference on Computer Vision (ICCV), 2023
K. Xiong
Rui Peng
Zhe Zhang
Tianxing Feng
Jianbo Jiao
Feng Gao
Ronggang Wang
318
22
0
11 Mar 2025
Learning Nash Equilibrial Hamiltonian for Two-Player Collision-Avoiding Interactions
Learning Nash Equilibrial Hamiltonian for Two-Player Collision-Avoiding InteractionsAmerican Control Conference (ACC), 2025
Lei Zhang
Siddharth Das
Tanner Merry
Wenlong Zhang
Yi Ren
352
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10 Mar 2025
SHAZAM: Self-Supervised Change Monitoring for Hazard Detection and MappingIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE J-STARS), 2025
Samuel Garske
Konrad Heidler
Bradley Evans
KC Wong
Xiao Xiang Zhu
162
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01 Mar 2025
VRM: Knowledge Distillation via Virtual Relation Matching
VRM: Knowledge Distillation via Virtual Relation Matching
W. Zhang
Fei Xie
Weidong Cai
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458
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28 Feb 2025
Efficient Hierarchical Contrastive Self-supervising Learning for Time Series Classification via Importance-aware Resolution Selection
Efficient Hierarchical Contrastive Self-supervising Learning for Time Series Classification via Importance-aware Resolution SelectionBigData Congress [Services Society] (BSS), 2024
Kevin Garcia
Juan Manuel Perez
Yifeng Gao
AI4TS
315
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0
14 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
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Nasim Parsa
Michael F Byrne
Sharib Ali
362
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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
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362
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Self-supervised Benchmark Lottery on ImageNet: Do Marginal Improvements Translate to Improvements on Similar Datasets?IEEE International Joint Conference on Neural Network (IJCNN), 2024
Utku Ozbulak
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A Review on Self-Supervised Learning for Time Series Anomaly Detection: Recent Advances and Open Challenges
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Aitor Sánchez-Ferrera
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Unified 3D MRI Representations via Sequence-Invariant Contrastive Learning
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Memory Storyboard: Leveraging Temporal Segmentation for Streaming Self-Supervised Learning from Egocentric Videos
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DiffGraph: Heterogeneous Graph Diffusion Model
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Enhancing Contrastive Learning Inspired by the Philosophy of "The Blind Men and the Elephant"
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411
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Semantic Anchor Transport: Robust Test-Time Adaptation for Vision-Language Models
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Probing the Mid-level Vision Capabilities of Self-Supervised Learning
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Understanding the Role of Equivariance in Self-supervised Learning
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Quantum Rationale-Aware Graph Contrastive Learning for Jet Discrimination
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