SemanticKITTI API for visualizing dataset, processing data, and evaluating results.
2019-07-24
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2025-04-03T07:55:17Z
🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.
#计算机科学#Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving
SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)
基于Pytorch复现Point-Transformer,用于ShapeNet数据集点云分割
🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey
Zotero PDF Translate 是用于文献管理软件Zotero的翻译插件。主要功能有划词翻译、源文本/翻译切换、批注翻译、支持多种翻译引擎
OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.org/abs/2206.04670)
[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
3D visualization of scientific data in Python
#大语言模型#利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
实时目标检测 - YOLOv9 论文实现:Learning What You Want to Learn Using Programmable Gradient Information
#计算机科学#Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.
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