My NIPS 2018 Paper: YOLO4D for Accurate

yolo4d 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. The orinal YOLOv4 paper can be found on e authors have made their work publicly available, and the codebase can be accessed on GitHub.We appreciate their

yolo4d login, As expected, the YOLO4D models outperform the frame stacking models. Frame stacking encodes the temporal information only through the reshaping of inputs, while YOLO4D.