LIDAR Semantic Segmentation

50 papers with code • 4 benchmarks • 7 datasets

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Libraries

Use these libraries to find LIDAR Semantic Segmentation models and implementations

Most implemented papers

SSD: Single Shot MultiBox Detector

weiliu89/caffe 8 Dec 2015

Experimental results on the PASCAL VOC, MS COCO, and ILSVRC datasets confirm that SSD has comparable accuracy to methods that utilize an additional object proposal step and is much faster, while providing a unified framework for both training and inference.

KPConv: Flexible and Deformable Convolution for Point Clouds

HuguesTHOMAS/KPConv ICCV 2019

Furthermore, these locations are continuous in space and can be learned by the network.

RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds

QingyongHu/RandLA-Net CVPR 2020

We study the problem of efficient semantic segmentation for large-scale 3D point clouds.

Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

mit-han-lab/spvnas ECCV 2020

Self-driving cars need to understand 3D scenes efficiently and accurately in order to drive safely.

PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation

edwardzhou130/PolarSeg CVPR 2020

The need for fine-grained perception in autonomous driving systems has resulted in recently increased research on online semantic segmentation of single-scan LiDAR.

LENet: Lightweight And Efficient LiDAR Semantic Segmentation Using Multi-Scale Convolution Attention

fengluodb/lenet 11 Jan 2023

LiDAR-based semantic segmentation is critical in the fields of robotics and autonomous driving as it provides a comprehensive understanding of the scene.

Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation

xinge008/Cylinder3D 4 Aug 2020

A straightforward solution to tackle the issue of 3D-to-2D projection is to keep the 3D representation and process the points in the 3D space.

CPGNet: Cascade Point-Grid Fusion Network for Real-Time LiDAR Semantic Segmentation

GangZhang842/CPGNet 21 Apr 2022

LiDAR semantic segmentation essential for advanced autonomous driving is required to be accurate, fast, and easy-deployed on mobile platforms.

Point Transformer V3: Simpler, Faster, Stronger

Pointcept/Pointcept 15 Dec 2023

This paper is not motivated to seek innovation within the attention mechanism.