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Prakash Chandra Chhipa

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Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions?

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Aug 11, 2023
Prakash Chandra Chhipa, Johan Rodahl Holmgren, Kanjar De, Rajkumar Saini, Marcus Liwicki

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Learning Self-Supervised Representations for Label Efficient Cross-Domain Knowledge Transfer on Diabetic Retinopathy Fundus Images

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Apr 20, 2023
Ekta Gupta, Varun Gupta, Muskaan Chopra, Prakash Chandra Chhipa, Marcus Liwicki

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Domain Adaptable Self-supervised Representation Learning on Remote Sensing Satellite Imagery

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Apr 19, 2023
Muskaan Chopra, Prakash Chandra Chhipa, Gopal Mengi, Varun Gupta, Marcus Liwicki

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Functional Knowledge Transfer with Self-supervised Representation Learning

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Mar 12, 2023
Prakash Chandra Chhipa, Muskan Chopra, Gopal Mengi, Varun Gupta, Richa Upadhyay, Meenakshi Subhash Chippa, Kanjar De, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki

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A Systematic Performance Analysis of Deep Perceptual Loss Networks Breaks Transfer Learning Conventions

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Feb 08, 2023
Gustav Grund Pihlgren, Konstantina Nikolaidou, Prakash Chandra Chhipa, Nosheen Abid, Rajkumar Saini, Fredrik Sandin, Marcus Liwicki

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Depth Contrast: Self-Supervised Pretraining on 3DPM Images for Mining Material Classification

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Oct 18, 2022
Prakash Chandra Chhipa, Richa Upadhyay, Rajkumar Saini, Lars Lindqvist, Richard Nordenskjold, Seiichi Uchida, Marcus Liwicki

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Multi-Task Meta Learning: learn how to adapt to unseen tasks

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Oct 13, 2022
Richa Upadhyay, Prakash Chandra Chhipa, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki

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Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images

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Mar 15, 2022
Prakash Chandra Chhipa, Richa Upadhyay, Gustav Grund Pihlgren, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki

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