# lerojd **Repository Path**: fightingand/lerojd ## Basic Information - **Project Name**: lerojd - **Description**: No description available - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2024-10-01 - **Last Updated**: 2024-10-01 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Towards Efficient 3D Object Detection with Knowledge Distillation --- This repository contains the official implementation of [LEROjD: Lidar Extended Radar-Only Object Detection](), Accepted for publication at ECCV 2024 ## Changelog [2024-08-] Initial release ## Introduction Our code is based on [SparseKD](https://github.com/CVMI-Lab/SparseKD) which itself is based on [OpenPCDet v0.5.2](https://github.com/open-mmlab/OpenPCDet/tree/v0.5.2). Some changes of [OpenPCDet v0.6.0](https://github.com/open-mmlab/OpenPCDet/tree/master), like DSVT, are integrated in this codebase. We only supply code for execution on the [View of Delft]((https://github.com/tudelft-iv/view-of-delft-dataset)). The code should be applicable to other datasets with minor changes. Due to the limited availability of evaluation on the [View of Delft](https://github.com/tudelft-iv/view-of-delft-dataset) Test dataset we use a different split of the dataset for training and evaluation. This modified split is available in the [data](data/view_of_delft_PUBLIC/lidar/ImageSets) folder. ## Installation Please refer to [INSTALL.md](docs/INSTALL.md) for the installation. ## Getting Started Please refer to [GETTING_STARTED.md](docs/GETTING_STARTED.md) to learn more usage of OpenPCDet. ## License This codebase is released under the [Apache 2.0 license](LICENSE). ## Acknowledgement Our code is heavily based on [SparseKD](https://github.com/CVMI-Lab/SparseKD) and [OpenPCDet](https://github.com/open-mmlab/OpenPCDet). Thanks to the authors of SparseKD as well as the OpenPCDet Development Team for their awesome codebase.