Mastering All YOLO Models from YOLOv1 to

yolo4d$ └── checkpoints │ ├── yolo3d_yolov4.pth └── dataset │ └── kitti │ │ ├──ImageSets │ │ │ ├── test.txt │ │ │ ├── train.txt │ │ │ └── val.txt │ │ ├── training │ │ │ ├── image_2 -- for visualization │ │ │ ├── calib │ │As expected, the YOLO4D models outperform the frame stacking models. Frame stacking encodes the temporal information only through the reshaping of inputs, while YOLO4D