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Dongyue Zhao

2 accepted papers

2021

Adaptive Label Noise Cleaning With Meta-Supervision for Deep Face Recognition

ICCV 2021poster

The training of a deep face recognition system usually faces the interference of label noise in the training data. However, it is difficult to obtain a high-precision cleaning model to remove these noises. In this paper, we propose an adaptive label noise cleaning algorithm based on meta-learning fo…

Cited by 14PDFScholar
2020

Global-Local GCN: Large-Scale Label Noise Cleansing for Face Recognition

CVPR 2020poster

In the field of face recognition, large-scale web-collected datasets are essential for learning discriminative representations, but they suffer from noisy identity labels, such as outliers and label flips. It is beneficial to automatically cleanse their label noise for improving recognition accuracy…

Cited by 88PDFScholar