Multi Category

Multi-category classification focuses on assigning data points to one of several categories, a crucial task across diverse fields. Current research emphasizes developing and improving model architectures like deep neural networks (including ResNets and Vision Transformers), and exploring novel approaches such as spatial ensemble frameworks for non-Euclidean data and quantum-based classifiers. These advancements aim to enhance accuracy, scalability, and interpretability, impacting applications ranging from medical image analysis and financial transaction processing to oncology research and beyond.