Real-world data typically exhibits long-tailed class distribution and contains label noise. Previous long-tail learning ...

Abstract: There is a growing interest in power quality issues due to the continued developments in the power grid structure, i.e. its generation composites that now include prosumers, and high ...

Researchers have demonstrated, for the first time, that transfer learning can significantly enhance material Z-class identification in muon tomography, even in scenarios with limited or completely ...

Abstract: Low-shot image classification, where training images are limited or inaccessible, has benefited from recent progress on pretrained vision-language (VL) models with strong generalizability. e ...