Part-prototype networks (eg, ProtoPNet, ProtoTree, and ProtoPool) have attracted broad
research interest for their intrinsic interpretability and comparable accuracy to non …

Data augmentation (DA) is a crucial technique for enhancing the sample efficiency of visual
reinforcement learning (RL) algorithms. Notably, employing simple observation …

The environmental traffic assignment problem in the bimodal network with electric vehicles
(EVs) and gasoline vehicles (GVs) has become a hot topic recently. However, few previous …

Self-alignment is an effective way to reduce the cost of human annotation while ensuring
promising model capability. However, most current methods complete the data collection …

Abstract Mobility as a Service (MaaS) is an innovative transport concept, anticipated to
provide travelers with different kinds of travel services, more sustainable than a private car …

Safe driving is a serious and challenging concern that is dependent on driver behaviors
including aggressive, distracted, fatigued, and drowsy driving. In a smart society, in-vehicle …

驾驶员安全带检测作为计算机视觉的一个具体应用领域, 目前基于计算机视觉相关技术的驾驶员
安全带检测方法以节约人力, 实时监督, 高精度等优势逐渐成为研究热点. 对近年来驾驶员安全带 …

This paper presents a practical method for analyzing drivers' eye movements, providing a
valuable tool for understanding their behavior during driving simulations. The method, which …

The use of vehicles has grown steadily during the past few years. This rise in vehicle usage
does not correspond to the degree of driving safety. This is seen in Indonesia's 4% average …

The problem of deep long-tailed learning, a prevalent challenge in the realm of generic
visual recognition, persists in a multitude of real-world applications. To tackle the heavily …