Machines are rapidly gaining the ability to perceive, interpret and interact with the visual world in ways that were once ...

Researchers introduced X-CLR, a novel contrastive learning method using graph-based sample relationships. This approach outperformed traditional models like SimCLR in low-data regimes, enhancing ...

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

Recently, Hongwei Li’s team from China University of Geosciences published a research article titled “scSCC: A swapped contrastive learning-based clustering method for single-cell gene ...