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Cuong Cao Nguyen

2 accepted papers

2024

Instance-dependent Noisy-label Learning with Graphical Model Based Noise-rate Estimation

ECCV 2024poster

"Deep learning faces a formidable challenge when handling noisy labels, as models tend to overfit samples affected by label noise. This challenge is further compounded by the presence of instance-dependent noise (IDN), a realistic form of label noise arising from ambiguous sample information. To add…

2024

MetaAug: Meta-Data Augmentation for Post-Training Quantization

ECCV 2024poster

"Post-Training Quantization (PTQ) has received significant attention because it requires only a small set of calibration data to quantize a full-precision model, which is more practical in real-world applications in which full access to a large training set is not available. However, it often leads…