CLR, a novel contrastive learning method using graph-based sample relationships. This approach outperformed traditional ...

Traditional AI-powered waste classification systems rely on supervised learning methods. These require extensive labeled ...

They compared MONET's performance to supervised learning strategies involving training ResNet-50 models with ground-truth conceptual labels and OpenAI's Contrastive language-image pretraining ...

A research team led by Prof. Li Ping, Sin Wai Kin Foundation Professor in Humanities and Technology, Dean of the PolyU Faculty of Humanities and Associate Director of the PolyU-Hangzhou Technology and ...