Stars
Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
“连续八年成为全世界最受喜爱的语言，无 GC 也无需手动内存管理、极高的性能和安全性、过程/OO/函数式编程、优秀的包管理、JS 未来基石" — 工作之余的第二语言来试试 Rust 吧。本书拥有全面且深入的讲解、生动贴切的示例、德芙般丝滑的内容，这可能是目前最用心的 Rust 中文学习教程 / Book
本Fork代码仓库作为本人记录学习BEVFusion的学习笔记使用，会逐步理解代码并添加大量中文注释。 本仓库代码已参照《bevfusion单显卡训练/测试》做了单GPU训练和测试的修改。 并在本人主机上做过了测试。
The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
[ICCVW-2021] SA-Det3D: Self-attention based Context-Aware 3D Object Detection
PyTorch implementation of Complex-YOLO paper with YoloV3
收集全国各高校招生时不会写明，却会实实在在影响大学生活质量的要求与细节
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]
[ROS2 foxy] HDL 3D LiDAR localization package
This repository is an open-source PointPainting package which is easy to understand, deploy and run!
Implementation of the Multi-Task Multi-Sensor Fusion for 3D Object Detection paper by Uber
A pytorch version of frustum-pointnets
This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Learning (2023 CVPR)
OpenMMLab's next-generation platform for general 3D object detection.
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
Official repository of paper “IML-ViT: Benchmarking Image manipulation localization by Vision Transformer”
Unofficial implementation of MVSS-Net (ICCV 2021) with Pytorch including training code.
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
Implemented the KF, EKF, and UKF. Modeled the motion of the objects using CTRV. Estimated the states based on the recursive bayesian prediction and update cycle.
Implementation of a simple 2D UKF and EKF using an CTRV kinematics model with lidar and radar measurements.
Filters: KF, EKF, UKF || Process Models: CV, CTRV || Measurement Models: Radar, Lidar