Stars
OpenMMLab's next-generation platform for general 3D object detection.
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
RepVGG: Making VGG-style ConvNets Great Again
World's first general purpose 3D object detection codebse.
A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution…
The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
Code for our CVPR2021 paper coordinate attention
Code for a series of work in LiDAR perception, including SST (CVPR 22), FSD (NeurIPS 22), FSD++ (TPAMI 23), FSDv2, and CTRL (ICCV 23, oral).
SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud, CVPR 2021.
GIM: Learning Generalizable Image Matcher From Internet Videos (ICLR 2024 Spotlight)
Bounding Box Regression with Uncertainty for Accurate Object Detection (CVPR'19)
Fast-BEV: A Fast and Strong Bird’s-Eye View Perception Baseline
XuyangBai / TransFusion
Forked from open-mmlab/mmdetection3d[PyTorch] Official implementation of CVPR2022 paper "TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers". https://arxiv.org/abs/2203.11496
A 3D computer vision development toolkit based on PaddlePaddle. It supports point-cloud object detection, segmentation, and monocular 3D object detection models.
A project demonstrating how to use CUDA-PointPillars to deal with cloud points data from lidar.
SA-SSD: Structure Aware Single-stage 3D Object Detection from Point Cloud (CVPR 2020)
3D detection and tracking viewer (visualization) for kitti & waymo dataset
Complex-YOLO: Real-time 3D Object Detection on Point Clouds pytorch Darknet
[CVPR2023] Official Implementation of "DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets"
Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds (CVPR 2022, Oral)
Localization Distillation for Object Detection (CVPR 2022, TPAMI 2023)
CIA-SSD: Confident IoU-Aware Single Stage Object Detector From Point Cloud, AAAI 2021.
An implementation of DetNet: A Backbone network for Object Detection.
LiDAR R-CNN: An Efficient and Universal 3D Object Detector
Virtual Sparse Convolution for Multimodal 3D Object Detection
[ICCV 2023] SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection