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07/21/2022
ProMix: Combating Label Noise via Maximizing Clean Sample Utility
The ability to train deep neural networks under label noise is appealing...
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01/22/2022
PiCO: Contrastive Label Disambiguation for Partial Label Learning
Partial label learning (PLL) is an important problem that allows each tr...
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06/19/2021
Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks
Low-power computer vision on embedded devices has many applications. Thi...
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11/23/2020
The Emerging Trends of Multi-Label Learning
Exabytes of data are generated daily by humans, leading to the growing n...
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03/14/2019
