Deep learning has revolutionised object detection by enabling end-to-end trainable systems that learn both feature representation and localisation. Early two-stage detectors extracted region proposals ...

A comparison of the number of research papers in two types of COD, traditional and deep learning, within Image-level and Video-level applications. The bar chart shows the increase in overall research ...

According to the importance of railway safety, it is crucial to build a smart railway traffic safety system in Taiwan, especially there are often to see related accidents. Therefore, this study aimed ...

An overview of attention detection using EEG signals, which includes six steps: an experimental paradigm design, in which the task and the stimuli are defined and presented to the subjects; EEG data ...