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1901.09005
Cited By
Revisiting Self-Supervised Visual Representation Learning
25 January 2019
Alexander Kolesnikov
Xiaohua Zhai
Lucas Beyer
SSL
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Papers citing
"Revisiting Self-Supervised Visual Representation Learning"
50 / 357 papers shown
Title
A Large-Scale Analysis on Contextual Self-Supervised Video Representation Learning
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Semi-Supervised 360 Layout Estimation with Panoramic Collaborative Perturbations
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How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning?
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Calibre: Towards Fair and Accurate Personalized Federated Learning with Self-Supervised Learning
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Scalable Early Childhood Reading Performance Prediction
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Understanding the Role of Equivariance in Self-supervised Learning
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Using Self-supervised Learning Can Improve Model Fairness
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Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients
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Investigating the Benefits of Projection Head for Representation Learning
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Data-efficient Large Vision Models through Sequential Autoregression
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LW-FedSSL: Resource-efficient Layer-wise Federated Self-supervised Learning
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Color-
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SwitchTab: Switched Autoencoders Are Effective Tabular Learners
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Evaluating Fairness in Self-supervised and Supervised Models for Sequential Data
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Beyond Accuracy: Statistical Measures and Benchmark for Evaluation of Representation from Self-Supervised Learning
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C-SAW: Self-Supervised Prompt Learning for Image Generalization in Remote Sensing
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A Principled Hierarchical Deep Learning Approach to Joint Image Compression and Classification
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ScaleNet: An Unsupervised Representation Learning Method for Limited Information
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Frugal Satellite Image Change Detection with Deep-Net Inversion
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Nucleus-aware Self-supervised Pretraining Using Unpaired Image-to-image Translation for Histopathology Images
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Adapting Self-Supervised Representations to Multi-Domain Setups
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When hard negative sampling meets supervised contrastive learning
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Unsupervised Representation Learning for Time Series: A Review
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DSV: An Alignment Validation Loss for Self-supervised Outlier Model Selection
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A Large-Scale Analysis on Self-Supervised Video Representation Learning
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Ashlesha Kumar
Vibhav Vineet
Yogesh S Rawat
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09 Jun 2023
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