LBSNet aims to enhance the perception of transparent and reflective objects in complex and dynamic environments, using RGB images only. It leverages the synergy between boundary detection and semantic ...

Proença, M. C. and Mendes, R. N. (2024) Beach Surveillance: A Contribution to Automation. Journal of Geoscience and ...

In deep learning, large datasets are used to train artificial neural networks to carry out tasks without explicit programming. Furthermore, the technology is used in computer vision, speech ...

Astronomers using NASA's Chandra X-ray space telescope have witnessed a massive black hole jet slam into an unknown object in space. Astronomers have seen black hole jets blasting cosmic objects ...

In addition to the growth of physical tissue, such as muscles, bones, and skin, deep sleep also helps with memory consolidation (new memories are turned into long-term memories) and improving daytime ...

Test Drive Challenge: Detection and Classification of Objects of Interest Ecopia Tech Corporation's funded solution is the 2 nd project from IDEaS 1 st Call for Proposals for the Competitive Project ...

Abstract: This paper presents the ACC system for autonomous trams, including three core processes: object detection, collision assessment and control. The system utilizes the YOLOX deep learning model ...