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Seong Min Kye

2 accepted papers

2022

Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection

ECCV 2022poster

"Recent studies on learning with noisy labels have shown remarkable performance by exploiting a small clean dataset. In particular, model agnostic meta-learning-based label correction methods further improve performance by correcting noisy labels on the fly. However, there is no safeguard on the lab…