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Sungkyu Park

2 accepted papers

2021

Improving Unsupervised Image Clustering With Robust Learning

CVPR 2021poster

Unsupervised image clustering methods often introduce alternative objectives to indirectly train the model and are subject to faulty predictions and overconfident results. To overcome these challenges, the current research proposes an innovative model RUC that is inspired by robust learning. RUC's n…

Cited by 125PDFcodeScholar
2020

Mitigating Embedding and Class Assignment Mismatch in Unsupervised Image Classification

ECCV 2020poster

Unsupervised image classification is a challenging computer vision task. Deep learning-based algorithms have achieved superb results, where the latest approach adopts unified losses from embedding and class assignment processes. Since these processes inherently have different goals, jointly optimizi…