Although few-shot learning aims to address data scarcity, it still requires large, annotated
datasets for training, which are often unavailable due to cost and privacy concerns. Previous …

Class incremental learning (CIL) strives to emulate the human cognitive process of
continuously learning and adapting to new tasks while retaining knowledge from past …

The novel view synthesis from a limited set of images is a significant research focus.
Traditional NeRF methods, relying mainly on color supervision, struggle with accurate scene …

This technical article examines the evolution of machine learning models in IP violation
detection, tracing their progression from basic text classifiers to advanced large language …