[CVPR 2022 Oral] Official implementation for "Surface Representation for Point Clouds"
-
Updated
Nov 2, 2022 - Python
[CVPR 2022 Oral] Official implementation for "Surface Representation for Point Clouds"
[NeurIPS2022] This is the official code of "CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds".
This repository provides awesome research papers for autonomous driving perception. If you do find a problem or have any suggestions, please raise this as an issue or make a pull request with information (format of the repo): Research paper title, datasets, metrics, objects, source code, publisher, and year.
[CVPR2022] Point Cloud Pre-training with Natural 3D Structures
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow. Improved for 3D instance segmentation and additional evaluation options.
Multi-Modal scene recognition using multi-scale encoded features (IMAVIS 2022)
Add a description, image, and links to the sunrgbd topic page so that developers can more easily learn about it.
To associate your repository with the sunrgbd topic, visit your repo's landing page and select "manage topics."