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1505.05192
Cited By
Unsupervised Visual Representation Learning by Context Prediction
19 May 2015
Carl Doersch
Abhinav Gupta
Alexei A. Efros
DRL
SSL
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Papers citing
"Unsupervised Visual Representation Learning by Context Prediction"
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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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Tiancheng Lin
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Advika Sinha
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Implicit Contrastive Representation Learning with Guided Stop-gradient
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12 Mar 2025
Vision-LSTM: xLSTM as Generic Vision Backbone
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Korbinian Poppel
Sepp Hochreiter
Johannes Brandstetter
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24 Feb 2025
A Review on Self-Supervised Learning for Time Series Anomaly Detection: Recent Advances and Open Challenges
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Borja Calvo
Jose A. Lozano
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28 Jan 2025
How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning?
Yiyi Zhang
Ying Zheng
Xiaogang Xu
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56
4
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28 Jan 2025
Self-supervised Benchmark Lottery on ImageNet: Do Marginal Improvements Translate to Improvements on Similar Datasets?
Utku Ozbulak
Esla Timothy Anzaku
Solha Kang
W. D. Neve
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54
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0
28 Jan 2025
Memory Storyboard: Leveraging Temporal Segmentation for Streaming Self-Supervised Learning from Egocentric Videos
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Mengye Ren
235
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0
21 Jan 2025
Beyond [cls]: Exploring the true potential of Masked Image Modeling representations
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Randall Balestriero
Wojciech Jasiński
Marek 'Smieja
Bartosz Zieliñski
74
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04 Dec 2024
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers
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A. Sohail
M. Fiaz
Mehdi Hassan
Tariq Habib Afridi
...
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Kamran Ali
Tangina Sultana
Ziaurrehman Tanoli
Naeem Akhter
45
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30 Aug 2024
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Qirui Ke
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Ryu Tadokoro
Ryosuke Yamada
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Iro Laina
Christian Rupprecht
Walid Maalej
Rio Yokota
Hirokatsu Kataoka
DD
32
2
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01 Aug 2024
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Yuheng Li
Tianyu Luan
Yizhou Wu
Shaoyan Pan
Yenho Chen
Xiaofeng Yang
40
5
0
09 Jul 2024
Self-supervised Learning via Cluster Distance Prediction for Operating Room Context Awareness
Idris Hamoud
Alexandros Karargyris
Aidean Sharghi
Omid Mohareri
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36
1
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Xiang Li
Cristina Mata
J. Park
Kumara Kahatapitiya
Yoo Sung Jang
...
Kanchana Ranasinghe
R. Burgert
Mu Cai
Yong Jae Lee
Michael S. Ryoo
LM&Ro
72
26
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28 Jun 2024
Visual Representation Learning with Stochastic Frame Prediction
Huiwon Jang
Dongyoung Kim
Junsu Kim
Jinwoo Shin
Pieter Abbeel
Younggyo Seo
47
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11 Jun 2024
The Brain's Bitter Lesson: Scaling Speech Decoding With Self-Supervised Learning
Dulhan Jayalath
Gilad Landau
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62
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DeNVeR: Deformable Neural Vessel Representations for Unsupervised Video Vessel Segmentation
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Shih-Hong Chen
Chih-Yao Hu
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Kai-Hsin Chen
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Chih-Hai Su
Chih-Kuo Lee
Yu-Lun Liu
59
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Unsupervised Meta-Learning via In-Context Learning
Anna Vettoruzzo
Lorenzo Braccaioli
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SSL
66
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Chae Jung Park
34
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Harmony: A Joint Self-Supervised and Weakly-Supervised Framework for Learning General Purpose Visual Representations
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D. L. Michels
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44
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Roshan Nayak
Rakshith Rao
Ujan Deb
AP Prathosh
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A Review on Discriminative Self-supervised Learning Methods in Computer Vision
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Tania Stathaki
Athanasios Gkelias
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64
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Sophia Sirko-Galouchenko
Alexandre Boulch
Spyros Gidaris
Andrei Bursuc
Antonín Vobecký
Patrick Pérez
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3DPC
38
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Spatial Context-based Self-Supervised Learning for Handwritten Text Recognition
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Carlos Garrido-Munoz
J. J. Valero-Mas
Jorge Calvo-Zaragoza
39
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Denoising Autoregressive Representation Learning
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J. Bornschein
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DiffM
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3
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Membership Information Leakage in Federated Contrastive Learning
Kongyang Chen
Wenfeng Wang
Zixin Wang
Wangjun Zhang
Zhipeng Li
Yao Huang
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38
1
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06 Mar 2024
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Minje Jang
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Jisoo Lee
Donghyun Na
Sanghyun Woo
AI4CE
39
19
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29 Feb 2024
Self-Supervised Representation Learning for Nerve Fiber Distribution Patterns in 3D-PLI
Alexander Oberstrass
Sascha E. A. Muenzing
Meiqi Niu
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Timo Dickscheid
27
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Self-supervised Learning of LiDAR 3D Point Clouds via 2D-3D Neural Calibration
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Junhui Hou
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Guangming Shi
Guangming Shi
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Enhancing Contrastive Learning with Efficient Combinatorial Positive Pairing
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Jangwon Suh
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Wonjong Rhee
33
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Any-Way Meta Learning
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Advancing Ante-Hoc Explainable Models through Generative Adversarial Networks
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Deepika Vemuri
Vineeth N. Balasubramanian
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Enhancing Context Through Contrast
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Diksha Bagade
Rishika Bhagwatkar
Khurshed Fitter
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Fus-MAE: A cross-attention-based data fusion approach for Masked Autoencoders in remote sensing
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3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression from Longitudinal OCTs
T. Emre
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Dmitrii Lachinov
Oliver Leingang
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S. Sivaprasad
Daniel Rueckert
A. Lotery
U. Schmidt-Erfurth
Hrvoje Bogunović
MedIm
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Zero-shot Building Attribute Extraction from Large-Scale Vision and Language Models
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Sangryul Jeon
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Frank Mckenna
Stella X. Yu
44
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No Representation Rules Them All in Category Discovery
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SCL-VI: Self-supervised Context Learning for Visual Inspection of Industrial Defects
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Combating Representation Learning Disparity with Geometric Harmonization
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Vision Transformers Need Registers
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Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning
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Spoken Language Intelligence of Large Language Models for Language Learning
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pNNCLR: Stochastic Pseudo Neighborhoods for Contrastive Learning based Unsupervised Representation Learning Problems
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Test Time Adaptation for Blind Image Quality Assessment
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