https://www.microsoft.com/en-us/research/publication/msr-vtt-a-large-vid...

To enable intelligent vehicles and transportation systems, the vehicles and relevant systems need to have the ability to sense environment and recognize objects. In order to benefit from the robustness of radar for sensing, knowing how to use the radar system for effective object recognition is critical. Observing this, we in this paper propose a novel deep learning-aided object recognition system for radar systems by combining the You only look once (YOLO) system with a proposed object recheck system.

Water leakage problems increased over the last few years, and innovative tools and techniques appeared to solve this widespread problem. The still unresolved problem concerns the identification of water leaks at the nearest point; at the household level, the most common and inexpensive devices are still mechanical meters, which cannot detect leaks.

Deep video representation learning has recently attained state-of-the-art performance in video action recognition. However, when used with video clips from varied perspectives, the performance of these models degrades significantly. Existing VAR models frequently simultaneously contain both view information and action attributes, making it difficult to learn a view-invariant representation.