RadarMOTR is a transformer neural network based on MOTRv2 able to track multiple objects in Range-Doppler maps. Objects are first detected by an external detector based on CFAR & DBSCAN clustering.

Abstract: Accurate depth information is crucial for various computer vision applications such as augmented reality, 3D modeling, and autonomous vehicles. Recent advancements have significantly ...

Abstract: Despite the excellent performance achieved by Siamese tracking in most scenarios, its performance remains unsatisfactory in some scenarios. Traditional convolutional operations tend to use a ...