ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning

1 code implementation • 21 Mar 2021 • Ragav Sachdeva, Filipe R Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro

We propose a new training algorithm, ScanMix, that explores semantic clustering and semi-supervised learning (SSL) to allow superior robustness to severe label noise and competitive robustness to non-severe label noise problems, in comparison to the state of the art (SOTA) methods.

Clustering Image Classification