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Unsupervised Learning of Visual Representations by Solving Jigsaw
  Puzzles
v1v2v3 (latest)

Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles

30 March 2016
M. Noroozi
Paolo Favaro
    SSL
ArXiv (abs)PDFHTML

Papers citing "Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles"

50 / 1,791 papers shown
RNN as Linear Transformer: A Closer Investigation into Representational Potentials of Visual Mamba Models
RNN as Linear Transformer: A Closer Investigation into Representational Potentials of Visual Mamba Models
Timing Yang
Guoyizhe Wei
Alan Yuille
Feng Wang
Mamba
150
0
0
23 Nov 2025
DI3CL: Contrastive Learning With Dynamic Instances and Contour Consistency for SAR Land-Cover Classification Foundation Model
DI3CL: Contrastive Learning With Dynamic Instances and Contour Consistency for SAR Land-Cover Classification Foundation Model
Zhongle Ren
Hui Ding
Kai Wang
B. Hou
Xingyu Luo
Weibin Li
Licheng Jiao
176
0
0
11 Nov 2025
Seq2Seq Models Reconstruct Visual Jigsaw Puzzles without Seeing Them
Seq2Seq Models Reconstruct Visual Jigsaw Puzzles without Seeing Them
Gur Elkn
Ofir Itzhak Shahar
Ohad Ben-Shahar
VLM
98
0
0
09 Nov 2025
Spatial-SSRL: Enhancing Spatial Understanding via Self-Supervised Reinforcement Learning
Spatial-SSRL: Enhancing Spatial Understanding via Self-Supervised Reinforcement Learning
Yuhong Liu
Beichen Zhang
Yuhang Zang
Yuhang Cao
Long Xing
Xiaoyi Dong
Haodong Duan
Dahua Lin
J. Wang
LRM
206
5
0
31 Oct 2025
C-LEAD: Contrastive Learning for Enhanced Adversarial Defense
C-LEAD: Contrastive Learning for Enhanced Adversarial Defense
Suklav Ghosh
Sonal Kumar
Arijit Sur
AAML
155
1
0
31 Oct 2025
MoME: Mixture of Visual Language Medical Experts for Medical Imaging Segmentation
MoME: Mixture of Visual Language Medical Experts for Medical Imaging Segmentation
Arghavan Rezvani
Xiangyi Yan
Anthony T. Wu
Kun Han
Pooya Khosravi
Xiaohui Xie
MoE
174
0
0
30 Oct 2025
Why Prototypes Collapse: Diagnosing and Preventing Partial Collapse in Prototypical Self-Supervised Learning
Why Prototypes Collapse: Diagnosing and Preventing Partial Collapse in Prototypical Self-Supervised Learning
Gabriel Y. Arteaga
Marius Aasan
Rwiddhi Chakraborty
Martine Hjelkrem-Tan
T. Silva
Michael C. Kampffmeyer
Adín Ramirez Rivera
140
0
0
23 Oct 2025
SSL4RL: Revisiting Self-supervised Learning as Intrinsic Reward for Visual-Language Reasoning
SSL4RL: Revisiting Self-supervised Learning as Intrinsic Reward for Visual-Language Reasoning
Xiaojun Guo
Runyu Zhou
Yifei Wang
Qi Zhang
Chenheng Zhang
...
Xiaohan Wang
Jiajun Chai
Guojun Yin
Wei Lin
Y. Wang
LRMVLM
171
2
0
18 Oct 2025
Understanding Self-supervised Contrastive Learning through Supervised Objectives
Understanding Self-supervised Contrastive Learning through Supervised Objectives
Byeongchan Lee
SSL
211
0
0
12 Oct 2025
Self-Supervised Learning Strategies for a Platform to Test the Toxicity of New Chemicals and Materials
Self-Supervised Learning Strategies for a Platform to Test the Toxicity of New Chemicals and Materials
Thomas Lautenschlager
Nils Friederich
Angelo Jovin Yamachui Sitcheu
Katja Nau
Gaëlle Hayot
Thomas Dickmeis
Ralf Mikut
93
0
0
09 Oct 2025
Conditional Representation Learning for Customized Tasks
Conditional Representation Learning for Customized Tasks
Honglin Liu
Chao Sun
Peng Hu
Yunfan Li
Xi Peng
162
0
0
06 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
170
0
0
04 Oct 2025
GenView++: Unifying Adaptive Generative Augmentation and Quality-Driven Supervision for Contrastive Representation Learning
GenView++: Unifying Adaptive Generative Augmentation and Quality-Driven Supervision for Contrastive Representation Learning
Xiaojie Li
Bei Wang
Jianlong Wu
Yue Yu
Liqiang Nie
Min Zhang
Min Zhang
AI4TS
155
0
0
28 Sep 2025
Global Minimizers of Sigmoid Contrastive Loss
Global Minimizers of Sigmoid Contrastive Loss
Kiril Bangachev
Guy Bresler
Iliyas Noman
Yury Polyanskiy
172
0
0
23 Sep 2025
DiSSECT: Structuring Transfer-Ready Medical Image Representations through Discrete Self-Supervision
DiSSECT: Structuring Transfer-Ready Medical Image Representations through Discrete Self-Supervision
Azad Singh
Deepak Mishra
134
0
0
23 Sep 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
241
0
0
19 Sep 2025
Leveraging Geometric Visual Illusions as Perceptual Inductive Biases for Vision Models
Leveraging Geometric Visual Illusions as Perceptual Inductive Biases for Vision Models
Haobo Yang
Minghao Guo
Dequan Yang
Wenyu Wang
139
0
0
18 Sep 2025
VLHSA: Vision-Language Hierarchical Semantic Alignment for Jigsaw Puzzle Solving with Eroded Gaps
VLHSA: Vision-Language Hierarchical Semantic Alignment for Jigsaw Puzzle Solving with Eroded Gaps
Zhuoning Xu
Xinyan Liu
110
0
0
17 Sep 2025
Curriculum Multi-Task Self-Supervision Improves Lightweight Architectures for Onboard Satellite Hyperspectral Image Segmentation
Curriculum Multi-Task Self-Supervision Improves Lightweight Architectures for Onboard Satellite Hyperspectral Image Segmentation
Hugo Carlesso
Josiane Mothe
Radu Tudor Ionescu
95
0
0
16 Sep 2025
Beyond Instance Consistency: Investigating View Diversity in Self-supervised Learning
Beyond Instance Consistency: Investigating View Diversity in Self-supervised Learning
Huaiyuan Qin
M. Yang
Siyuan Hu
Peng Hu
Yu Zhang
Chen Gong
Hongyuan Zhu
175
0
0
14 Sep 2025
Semantic Concentration for Self-Supervised Dense Representations Learning
Semantic Concentration for Self-Supervised Dense Representations LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Peisong Wen
Qianqian Xu
Siran Dai
Runmin Cong
Qingming Huang
184
3
0
11 Sep 2025
Patch-Level Kernel Alignment for Dense Self-Supervised Learning
Patch-Level Kernel Alignment for Dense Self-Supervised Learning
Juan Yeo
Ijun Jang
Taesup Kim
SSLMDE
262
0
0
06 Sep 2025
PLanTS: Periodicity-aware Latent-state Representation Learning for Multivariate Time Series
PLanTS: Periodicity-aware Latent-state Representation Learning for Multivariate Time Series
Jia Wang
X. Wang
Chi Zhang
AI4TSBDL
117
0
0
05 Sep 2025
CryptoFace: End-to-End Encrypted Face Recognition
CryptoFace: End-to-End Encrypted Face RecognitionComputer Vision and Pattern Recognition (CVPR), 2025
Wei Ao
Vishnu Boddeti
PICVFedML
276
3
0
30 Aug 2025
Self-Validated Learning for Particle Separation: A Correctness-Based Self-Training Framework Without Human Labels
Self-Validated Learning for Particle Separation: A Correctness-Based Self-Training Framework Without Human Labels
Philipp D. Lösel
Aleese Barron
Yulai Zhang
Matthias Fabian
Benjamin Young
Nicolas Francois
Andrew M. Kingston
112
0
0
22 Aug 2025
Directed-Tokens: A Robust Multi-Modality Alignment Approach to Large Language-Vision Models
Directed-Tokens: A Robust Multi-Modality Alignment Approach to Large Language-Vision Models
Thanh-Dat Truong
Huu-Thien Tran
Tran Thai Son
Bhiksha Raj
Khoa Luu
311
1
0
19 Aug 2025
ITL-LIME: Instance-Based Transfer Learning for Enhancing Local Explanations in Low-Resource Data Settings
ITL-LIME: Instance-Based Transfer Learning for Enhancing Local Explanations in Low-Resource Data Settings
Rehan Raza
Guanjin Wang
Kevin Wong
Hamid Laga
Marco Fisichella
FAttLRM
268
1
0
19 Aug 2025
VELVET-Med: Vision and Efficient Language Pre-training for Volumetric Imaging Tasks in Medicine
VELVET-Med: Vision and Efficient Language Pre-training for Volumetric Imaging Tasks in Medicine
Ziyang Zhang
Yang Yu
Xulei Yang
S. Yeo
VLM
114
0
0
16 Aug 2025
When Is Prior Knowledge Helpful? Exploring the Evaluation and Selection of Unsupervised Pretext Tasks from a Neuro-Symbolic Perspective
When Is Prior Knowledge Helpful? Exploring the Evaluation and Selection of Unsupervised Pretext Tasks from a Neuro-Symbolic Perspective
Lin-Han Jia
Si-Yu Han
Wen-Chao Hu
Jie-Jing Shao
Wen-Da Wei
Zhi Zhou
Lan-Zhe Guo
Yu-Feng Li
SSL
155
0
0
10 Aug 2025
Self-Supervised YOLO: Leveraging Contrastive Learning for Label-Efficient Object Detection
Self-Supervised YOLO: Leveraging Contrastive Learning for Label-Efficient Object Detection
Manikanta Kotthapalli
Reshma Bhatia
Nainsi Jain
141
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SpecBPP: A Self-Supervised Learning Approach for Hyperspectral Representation and Soil Organic Carbon Estimation
SpecBPP: A Self-Supervised Learning Approach for Hyperspectral Representation and Soil Organic Carbon Estimation
Daniel Laáh Ayuba
Jean-Yves Guillemaut
Belen Marti-Cardona
Oscar Mendez Maldonado
224
1
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26 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
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Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion
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Aleksandar Jevtić
Christoph Reich
Felix Wimbauer
Oliver Hahn
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Stefan Roth
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Why Reinforcement Fine-Tuning Enables MLLMs Preserve Prior Knowledge Better: A Data Perspective
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Zhihao Zhang
Qiaole Dong
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Yanwei Fu
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232
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Bridging Brain with Foundation Models through Self-Supervised Learning
Hamdi Altaheri
Fakhri Karray
Md. Milon Islam
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219
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Self-supervised Representation Learning with Local Aggregation for Image-based Profiling
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Siran Dai
Qianqian Xu
Peisong Wen
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306
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UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning
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Lvhai Chen
Huaijia Kou
Shengchuan Zhang
Yan Zhang
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198
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Position Prediction Self-Supervised Learning for Multimodal Satellite Imagery Semantic Segmentation
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Spatio-Temporal Joint Density Driven Learning for Skeleton-Based Action Recognition
Spatio-Temporal Joint Density Driven Learning for Skeleton-Based Action RecognitionIEEE Transactions on Biometrics Behavior and Identity Science (TBBIS), 2025
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177
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Multimodal Foundation Model for Cross-Modal Retrieval and Activity Recognition Tasks
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Jigsaw-Puzzles: From Seeing to Understanding to Reasoning in Vision-Language Models
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Zesen Lyu
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Fangdi Li
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347
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Self-Supervised Learning for Image Segmentation: A Comprehensive Survey
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Thangarajah Akilan
Nusrat Jahan
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Spectral-Spatial Self-Supervised Learning for Few-Shot Hyperspectral Image Classification
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317
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SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images
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Merging and Disentangling Views in Visual Reinforcement Learning for Robotic Manipulation
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Token Coordinated Prompt Attention is Needed for Visual Prompting
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Zichen Liu
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Boosting Generative Image Modeling via Joint Image-Feature Synthesis
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ERL-MPP: Evolutionary Reinforcement Learning with Multi-head Puzzle Perception for Solving Large-scale Jigsaw Puzzles of Eroded Gaps
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