Awesome
Tutorial - SIBGRAPI 2020
Code and Slides for the following tutorial:
<b>Title:</b> <i>A Survey on Deep Learning with Noisy Labels:How to train your model when you cannot trust onthe annotations?</i> <a href="http://sibgrapi.sid.inpe.br/rep/sid.inpe.br/sibgrapi/2020/09.30.23.54?metadatarepository=sid.inpe.br/sibgrapi/2020/09.30.23.54.49&ibiurl.backgroundlanguage=en&ibiurl.requiredsite=sibgrapi.sid.inpe.br+802&requiredmirror=sid.inpe.br/banon/2001/03.30.15.38.24&searchsite=sibgrapi.sid.inpe.br:80&searchmirror=sid.inpe.br/banon/2001/03.30.15.38.24&choice=briefTitleAuthorMisc">[pdf]</a>
<b>Authors:</b> Filipe R. Cordeiro, Gustavo Carneiro
<b>Institute</b> Federal Rural University of Pernambuco, University of Adelaide
Tutorial about noisy labels for SIBGRAPI 2020 conference
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<b>License</b>
This project is licensed under the terms of the MIT license.