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BEVDet: Cross-Dataset Object Detection by masoud kia is a document available to read on EtoBox.

What is BEVDet: Cross-Dataset Object Detection about?

This document provides supplementary details for a paper on cross-dataset sensor alignment for 3D object detection. It describes the datasets used, including Argoverse2, KITTI, KITTI-360, Lyft, nuScenes and Waymo. It explains how the datasets were converted to a unified format, including coordinate system alignment and category merging. Training details are provided for the DETR3D and BEVDet models. Results are shown for BEVDet trained on single datasets and across multiple datasets.

Author

masoud kia

Language

EN