[CVPR 2024] Official PyTorch Code of SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects
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Updated
Jun 3, 2024 - Python
[CVPR 2024] Official PyTorch Code of SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects
NuScenes wrapper for fast development
A 3D computer vision development toolkit based on PaddlePaddle. It supports point-cloud object detection, segmentation, and monocular 3D object detection models.
Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation (CVPR 2022)
Unlocking consistent interfacing to the most useful autonomous vehicle datasets and simulators.
This repository contains our work on a comprehensive investigation on motion prediction for Autonomous Vehicles using the PowerBEV framework and a Multi-Camera setup. Validated trajectory forecasting capabilities on the NuScenes, Woven and Argoverse datasets and identified challenges in model generalization across these datasets.
[IV 2024] Official code for "Revisiting Out-of-Distribution Detection in LiDAR-based 3D Object Detection"
三维点云数据集下载sh脚本(目标检测,语义分割, ...)
Ray Denoising (RayDN): Depth-aware Hard Negative Sampling for Multi-view 3D Object Detection
Official codebase of HyDRa.
Open source training framework for vision tasks. Scales up on data and scales up on tasks. Official Implementation for https://arxiv.org/abs/2310.00920
Deployment of 3D-Detection and Tracking pipeline in simulation based on rosbags and real-time.
Learning to Drive with GPT
Official PyTorch implementation of FB-BEV & FB-OCC - Forward-backward view transformation for vision-centric autonomous driving perception
An Efficient, Flexible, and General deep learning framework that retains minimal.
World's first general purpose 3D object detection codebse.
[ECCV 2022] Official PyTorch Code of DEVIANT: Depth Equivariant Network for Monocular 3D Object Detection
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