DavidGillsjo / bssc-net
This is a PyTorch implementation of a Bayesian Convolutional Neural Network (BCNN) for Semantic Scene Completion on the SUNCG dataset. Given a depth image the network outputs a semantic segmentation and entropy score in 3D voxel format.
☆12Updated last year
Related projects: ⓘ
- [TITS2022] 3DCTN: 3D Convolution-Transformer Network for Point Cloud Classification☆25Updated last year
- ☆23Updated 3 years ago
- ☆26Updated 2 years ago
- Continuous Conditional Random Field Convolution for Point Cloud Segmentation☆15Updated 3 years ago
- This repository implements the block gradient decent algorithm to optimize a Markov Random Field for binary image segmentation☆15Updated 4 years ago
- Pytorch framework for doing deep learning on point clouds. Implementation of Siamese KPConv network for point clouds change detection☆27Updated last year
- Official repo for: Diffusion Unit: Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud Segmentation (Neurocomputin…☆24Updated 3 months ago
- ☆16Updated this week
- Master MVA, ENS Cachan, France: 3D Point Cloud Processing. Implementation of the research article "Segmentation Based Classification of 3…☆14Updated 4 years ago
- ☆13Updated 8 months ago
- ☆21Updated 3 years ago
- The official implementation of “High quality superpixel generation through regional decomposition”.☆11Updated last year
- PnP-3D: A Plug-and-Play for 3D Point Clouds (TPAMI 2021)☆32Updated 2 years ago
- Weakly-supervised road-lane markings detection for autonomous driving, mitigating the lack of training data☆14Updated last year
- Pothole Detection Based on Disparity Transformation and Road Surface Modeling (T-IP)☆18Updated 3 years ago
- ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation☆17Updated 11 months ago
- SCANet: A Spatial and Channel Attention based Network for Partial-to-Partial Point Cloud Registration☆15Updated 3 years ago
- ☆14Updated 3 years ago
- ☆13Updated last year
- ☆25Updated 3 years ago
- ☆14Updated last year
- semantic segmentation☆17Updated 4 years ago
- [ICRA 2020] Dilated Point Convolutions: On the Receptive Field Size of Point Convolutions on 3D Point Clouds☆10Updated 3 years ago
- Improving performance of deep learning models for 3D point cloud semantic segmentation via attention mechanisms☆16Updated 2 years ago
- PointCT: Point Central Transformer Network for Weakly-supervised Point Cloud Semantic Segmentation (WACV 2024)☆15Updated 6 months ago
- ☆11Updated last year
- Official implementation of Dense Prediction with Attentive Feature Aggregation, WACV 2023☆12Updated last year
- The 2nd solution (68.1 mIoU) for 1st Urban3D challenge.☆26Updated last year
- Experiments on point cloud segmentation.☆19Updated 2 years ago