Cola-666's Stars
mli/paper-reading
深度学习经典、新论文逐段精读
NLP-LOVE/ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
xingyizhou/CenterNet
Object detection, 3D detection, and pose estimation using center point detection:
open-mmlab/OpenPCDet
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
rlabbe/filterpy
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
nutonomy/nuscenes-devkit
The devkit of the nuScenes dataset.
axinc-ai/ailia-models
The collection of pre-trained, state-of-the-art AI models for ailia SDK
facebookresearch/SparseConvNet
Submanifold sparse convolutional networks
52CV/CV-Surveys
计算机视觉相关综述。包括目标检测、跟踪........
tianweiy/CenterPoint
V2AI/Det3D
World's first general purpose 3D object detection codebse.
NirAharon/BoT-SORT
BoT-SORT: Robust Associations Multi-Pedestrian Tracking
SysCV/qd-3dt
Official implementation of Monocular Quasi-Dense 3D Object Tracking, TPAMI 2022
bostondiditeam/MV3D
Multi-View 3D Object Detection Network for Autonomous Driving
wangdongdut/Online-Visual-Tracking-SOTA
hailanyi/3D-Detection-Tracking-Viewer
3D detection and tracking viewer (visualization) for kitti & waymo dataset
yuxng/MDP_Tracking
Learning to Track: Online Multi-Object Tracking by Decision Making
eddyhkchiu/mahalanobis_3d_multi_object_tracking
[NeurIPS Workshop 2019] Official code of the paper "Probabilistic 3D Multi-Object Tracking for Autonomous Driving." First Place of the First NuScenes Tracking Challenge in the AI Driving Olympics Workshop of NeurIPS.
tusen-ai/SimpleTrack
hailanyi/3D-Multi-Object-Tracker
A project for 3D multi-object tracking
HaohaoNJU/CenterPoint
TensorRT deployment for CenterPoint Lidar Detection Model.
philip-huang/PIXOR
PyTorch Implementation of PIXOR
tianweiy/CenterPoint-KITTI
qcraftai/simtrack
Exploring Simple 3D Multi-Object Tracking for Autonomous Driving (ICCV 2021)
MehmetAygun/4D-PLS
4D Panoptic Lidar Segmentation
Kemo-Huang/JMODT
Joint Multi-Object Detection and Tracking with Camera-LiDAR Fusion for Autonomous Driving
cogsys-tuebingen/CBMOT
This repo contains the official code for the paper 'Score refinement for confidence-based 3D multi-object tracking'
robot-learning-freiburg/Batch3DMOT
3D Multi-Object Tracking Using Graph Neural Networks with Cross-Edge Modality Attention. http://batch3dmot.cs.uni-freiburg.de
quan-dao/track_with_confidence
Official implementation of the algorithm presented in the paper "A Two-Stage Data Association Approach for 3D Multi-Object Tracking”
abysmalocean/3D_tracking