Hh Point Shopping Centre Experience with YOLO Schnitzel Lady

yolo 4d Compared to the YOLOv4, the YOLOV4-5D improves the mean average precision by 4.23% on the BDD data sets and 1.68% on the KITTI data sets. Finally, by pruning. YOLO4D is a 3D object detection method that uses a 4D tensor of LiDAR point clouds to exploit the temporal information. It is based on YOLO v2 and is evaluated on KITTI

yolo99, YOLO4D is a deep learning approach that uses 4D tensors to incorporate temporal information in 3D object detection from LiDAR point clouds. It extends YOLO v2 with Convolutional LSTM.