OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
-
Updated
Aug 8, 2024 - Python
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).
3D Bounding Box Estimation Using Deep Learning and Geometry (MultiBin)
A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
3DSSD: Point-based 3D Single Stage Object Detector (CVPR 2020)
[TPAMI] Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving
LiDAR R-CNN: An Efficient and Universal 3D Object Detector
DSGN: Deep Stereo Geometry Network for 3D Object Detection (CVPR 2020)
[ECCV 2022 oral] Monocular 3D Object Detection with Depth from Motion
3D Object Detection for Autonomous Driving in PyTorch, trained on the KITTI dataset.
Official PyTorch implementation for a conditional diffusion probability model in BEV perception
Unifying Voxel-based Representation with Transformer for 3D Object Detection (NeurIPS 2022)
Export CenterPoint PonintPillars ONNX Model For TensorRT
Pytorch code for ECCV'22 paper. ShAPO: Implicit Representations for Multi-Object Shape, Appearance and Pose Optimization
[CVPR 2022] Code release for "Multimodal Token Fusion for Vision Transformers"
[ICCVW-2021] SA-Det3D: Self-attention based Context-Aware 3D Object Detection
3d bounding box estimation from monocular image based on 2d bounding box
Official version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)
[ECCV 2024] Pytorch code for our ECCV'24 paper NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields
Add a description, image, and links to the 3d-detection topic page so that developers can more easily learn about it.
To associate your repository with the 3d-detection topic, visit your repo's landing page and select "manage topics."