edwardzhou130 / Panoptic-PolarNetLinks
Implementation for Panoptic-PolarNet (CVPR 2021)
☆180Updated 4 years ago
Alternatives and similar repositories for Panoptic-PolarNet
Users that are interested in Panoptic-PolarNet are comparing it to the libraries listed below
Sorting:
- 4D Panoptic Lidar Segmentation☆158Updated last year
- [CVPR 2021/TPAMI 2023] Rank 1st in the public leaderboard of SemanticKITTI Panoptic Segmentation (2020-11-16)☆249Updated 3 years ago
- ☆69Updated 3 years ago
- Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion (AAAI 2021)☆221Updated 4 years ago
- ☆240Updated 2 years ago
- Open3D based Semantic KITTI LiDAR dataset visualization tool☆118Updated 5 years ago
- PyTorch code for training EfficientLPS for LiDAR panoptic segmentation. https://rl.uni-freiburg.de/research/lidar-panoptic☆99Updated 2 years ago
- ☆75Updated 5 years ago
- The official code release of LidarMTL, a simple and efficient multi-task network for 3D object detection and road understanding☆108Updated 4 years ago
- Part-Aware Data Augmentation for 3D Object Detection in Point Cloud (IROS 2021)☆84Updated 3 years ago
- LMSCNet: Lightweight Multiscale 3D Semantic Completion. Roldão, L., de Charette, R., & Verroust-Blondet, A. International Conference on 3…☆94Updated 3 years ago
- Point Density-Aware Voxels for LiDAR 3D Object Detection (CVPR 2022)☆163Updated 3 years ago
- [ICME 2022] CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous Driving☆115Updated 2 years ago
- WYSIWYG: Exploiting Visibility for 3D Object Detection, CVPR 2020 (Oral)☆117Updated 5 years ago
- Code release for "Learning to Detect Mobile Objects from LiDAR Scans Without Labels" [CVPR 2022]☆94Updated 6 months ago
- This job is Non-official PyTorch implementation of the Range-Point-Voxel Funsion Network for lidar point cloud segmentation.☆59Updated 2 years ago
- ☆71Updated 4 years ago
- Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020☆109Updated 2 years ago
- A frustum-based method for detecting far-away objects in autonomous driving.☆47Updated 4 years ago
- Implementation for PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation (CVPR 2020)☆412Updated 4 years ago
- Code for Langer et al. "Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks", IROS, 2020.☆79Updated last year
- Official Implementation in Pytorch and Tensorflow of 3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D…☆181Updated 2 years ago
- Paper and Codes for “RangeDet: In Defense of Range View for LiDAR-based 3D Object Detection” (ICCV2021)☆199Updated last year
- Perception-aware multi-sensor fusion for 3D LiDAR semantic segmentation (ICCV 2021)☆222Updated 8 months ago
- ☆122Updated 3 years ago
- Behind the Curtain: Learning Occluded Shapes for 3D Object Detection☆200Updated 3 years ago
- 3DSSD's implementation with Pytorch☆18Updated 3 years ago
- [ECCV 2022] LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection☆113Updated 2 years ago
- The successful implementation of 3DSSD in Pytorch☆74Updated 4 years ago
- Train in Germany, Test in The USA: Making 3D Object Detectors Generalize☆133Updated 2 years ago