
GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection
Abhinav Kumar, Garrick Brazil, Xiaoming LiuModern 3D object detectors have immensely benefited from the end-to-end learning idea. However, most of them use a post-processing algorithm called Non-Maximal Suppression (NMS) only during inference. While there were attempts to include NMS in the training pipeline for tasks such as 2D object detection, they have been less widely ...
Continue readingKeywords: 3D Object Detection