wjun0830/Localizable-Rotation
Official PyTorch Repository of "Tailoring Self-Supervision for Supervised Learning" (ECCV 2022 Paper)
This project helps machine learning researchers and practitioners enhance the performance of their supervised learning models, especially when working with image classification or object detection. It takes your existing image datasets and a supervised learning setup, and by integrating a specialized self-supervision technique called 'localizable rotation,' it outputs a model with improved robustness and generalization capabilities. This is for machine learning engineers, data scientists, and computer vision researchers.
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Use this if you are developing computer vision models with supervised learning and want to boost their performance, robustness, and ability to generalize to new data.
Not ideal if you are working on purely unsupervised learning tasks or do not have an existing supervised learning framework for image data.
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30
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3
Language
Python
License
MIT
Category
Last pushed
Jul 28, 2023
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