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RAFAEL FELIX

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…

2018

Multi-modal Cycle-consistent Generalized Zero-Shot Learning

ECCV 2018poster

In generalized zero shot learning (GZSL), the set of classes are split into seen and unseen classes, where training relies on the semantic features of the seen and unseen classes and the visual representations of only the seen classes, while testing uses the visual representations of the seen and un…