Multi View 3D Object Detection using MXNet (In Progress: 1%)
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Updated
Apr 28, 2018
Multi View 3D Object Detection using MXNet (In Progress: 1%)
Deep3DBox's MXNet implementation. (In Progress: %95)
Evaluation code for KITTI
Detect object in 3D with Point Cloud and Image.
Frustum PointNets for 3D Object Detection from RGB-D Data
Implementation of Complex-YOLO 3D in PyTorch
A two stage multi-modal loss model along with rigid body transformations to regress 3D bounding boxes
Attentional-PointNet is Deep-Neural-Network architecture for 3D object detection in point clouds
Unofficial PyTorch Implementation of PIXOR: Real-time 3D Object Detection from Point Clouds
Transferable Semi-supervised 3D Object Detection from RGB-D Data, ICCV 2019
Preliminary implementation of PointFusion, a fusion 3D Object Detection network that leverages both image and 3D point cloud information. The repository includes both global and dense implementation of the detector architecture. Coded in Pytorch.
A New 3D Detector. Code Will be made public.
Semantic 3D Object Detection, Project 2 for the Laboratory, Deep Learning for Autonomous Driving
3D car detection competition on Kaggle : https://www.kaggle.com/c/pku-autonomous-driving/overview
Keras/Tensorflow implementation of VoteNet (https://github.com/facebookresearch/votenet). Keras/Tensorflow implementation of PointNet++.
Sample implementation of 3D object detection with Intel OpenVINO
3D object detection using Stereo-RCNN for Autonomous Driving
A toolkit for Waymo Open Dataset <-> KITTI conversions
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