haiduo / sparse_modelLinks
The four major frameworks for 3D point cloud sparse acceleration, which are currently mainstream, are compared. These include MIT-HAN-LAB's torchsparse, NVIDIA's MinkowskiEngine, TuSimple's spconv, and Facebook Research's SparseConvNet.
☆29Updated last year
Alternatives and similar repositories for sparse_model
Users that are interested in sparse_model are comparing it to the libraries listed below
Sorting:
- PVT-SSD: Single-Stage 3D Object Detector with Point-Voxel Transformer (CVPR 2023)☆49Updated 2 years ago
- [ICLR2024]: LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection.☆80Updated last year
- The first tensorrt implementation for point-based 3d detector, i.e., 3DSSD,SASA,IA-SSD.☆63Updated 2 years ago
- A collection of annotation tools for LiDAR Point Cloud. There are 3D Object Detection directions, and Semantic Segmentation.☆36Updated 2 years ago
- [ICME 2022] CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous Driving☆117Updated 2 years ago
- The backbone of the RangeRCNN, including DRB, Downsample, UpSample blocks.☆15Updated 3 years ago
- This job is Non-official PyTorch implementation of the Range-Point-Voxel Funsion Network for lidar point cloud segmentation.☆59Updated 2 years ago
- ☆35Updated 2 years ago
- An efficient 3D semantic segmentation framework for Urban-scale point clouds like SensatUrban, Campus3D, etc.☆83Updated 4 years ago
- [CVPR'23] FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer☆142Updated 2 years ago
- 🔥(ECCV 2024 Oral) RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation☆47Updated 5 months ago
- [TIP 2025] FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation☆94Updated 10 months ago
- ☆50Updated 3 years ago
- Improving performance of deep learning models for 3D point cloud semantic segmentation via attention mechanisms☆19Updated 3 years ago
- ☆12Updated 2 years ago
- ☆14Updated 2 years ago
- [ECCV 2022] PillarNet: Real-Time and High-Performance Pillar-based 3D Object Detection☆47Updated 3 years ago
- rangeNet++☆16Updated 3 years ago
- The successful implementation of 3DSSD in Pytorch☆74Updated 4 years ago
- The official implementation of 4DenoiseNet☆64Updated 3 years ago
- The official implementation of "Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature Aggregation" (RA-L with IROS …☆49Updated 2 years ago
- Official code implementation of MambaMOS☆51Updated last year
- simple visualization scripts for Kitti and Semantic Kitti dataset☆97Updated 5 years ago
- [ICRA 2024] PCB-RandNet: Rethinking Random Sampling for LiDAR Semantic Segmentation in Autonomous Driving Scene☆28Updated last year
- CVPR2022 paper list on 3D Object Detection☆11Updated 3 years ago
- The PyTorch Implementation of F-ConvNet for 3D Object Detection☆27Updated 5 years ago
- A PyTorch implementation of the paper “VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection"☆64Updated 7 years ago
- ☆104Updated 2 years ago
- DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets(CVPR2023),vaymo vehicle 3D Object Detection(top2), waymo cyclist 3D Object Detec…☆88Updated 2 years ago
- PillarTrack: Redesigning Pillar-based Transformer Network for Single Object Tracking on Point Clouds☆20Updated last year