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Name: JLQ
Type: User
Name: JLQ
Type: User
Related Paper and Code for 2D or 3D Object Detection
The data skeleton from Joint 2D-3D-Semantic Data for Indoor Scene Understanding
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds (ECCV 2022) :fire:
Generating 3D Adversarial Point Clouds
3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling
3D-BoNet in Tensorflow (NeurIPS 2019, Spotlight)
We extend Segment Anything to 3D perception by combining it with VoxelNeXt.
3D Bounding Box Estimation Using Deep Learning and Geometry (MultiBin)
The papers in this list are about 3d detection, especially those using point clouds.
3D detection and tracking viewer for kitti & waymo dataset
The tool to label pointcloud for 3D Detection and Segmentation
A resource repository for 3D machine learning
a project for 3D multi-object tracking
Implementation of paper: Self-Supervised Point Cloud Representation Learning with Occlusion Auto-Encoder
3d object detection papers
The main aim of this implementation is to use 3D Sparse CNN networks for 3D object detection
3D目标检测与位姿估计学习笔记
A list of 3D point cloud completion resources.
Papers and Datasets about Point Cloud.
This work is based on our paper Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds, which is appeared at the IEEE International Conference on Computer Vision (ICCV) 2017, 3DRMS Workshop.
3D DenseNet(torch version) for ModelNet40 dataset
Code & Models for 3DETR - an End-to-end transformer model for 3D object detection
3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration
3D Graph Neural Networks for RGBD Semantic Segmentation
[CVPR 2021] PyTorch implementation of 3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection.
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