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Minhwan Ko

2 accepted papers

2024

Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise

NeurIPS 2024poster

Deep neural networks have demonstrated remarkable performance in various vision tasks, but their success heavily depends on the quality of the training data. Noisy labels are a critical issue in medical datasets and can significantly degrade model performance. Previous clean sample selection methods…

Cited by 0SourcePDFScholar
2024

PolyFit: A Peg-in-hole Assembly Framework for Unseen Polygon Shapes via Sim-to-real Adaptation

IROS 2024poster

The study addresses the foundational and challenging task of peg-in-hole assembly in robotics, where misalignments caused by sensor inaccuracies and mechanical errors often result in insertion failures or jamming. This research introduces PolyFit, representing a paradigm shift by transitioning from…

Cited by 4SourceScholar