Multimodal representations and continual learning are two areas closely related to human
intelligence. The former considers the learning of shared representation spaces where …

Image-based depth estimation has gained significant attention in recent research on
computer vision for autonomous vehicles in intelligent transportation systems. This focus …

Continual learning (CL) is a critical paradigm in artificial intelligence that enables models to
learn sequentially from a stream of tasks while retaining previously acquired knowledge …

The slow deterioration of metal brought on by its chemical interactions with the environment
is known as corrosion. Material corrosion affects significant economic sectors and industries …

Continual learning is a fundamental challenge in artificial intelligence (AI) that aims to
enable models to learn from a continuous stream of data while retaining previously acquired …

Deep learning has drastically changed computer vision in the past decades and achieved
great success in many applications, such as image classification, retrieval, detection, and …

A promising approach to address privacy concerns, Federated learning (FL) enables
distributed training of machine learning (ML) models where user data remains on edge …