beizhengren's Stars
MichaelFan01/STDC-Seg
Source Code of our CVPR2021 paper "Rethinking BiSeNet For Real-time Semantic Segmentation"
CVPR2023-3D-Occupancy-Prediction/CVPR2023-3D-Occupancy-Prediction
CVPR2023-Occupancy-Prediction-Challenge
fengbingchun/Linux_Code_Test
CMake/Make/Shell/Multi-thread' usage
IDEA-Research/DINO
[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
nv-tlabs/lift-splat-shoot
Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)
HuangJunJie2017/BEVDet
Official code base of the BEVDet series .
Megvii-BaseDetection/BEVDepth
Official code for BEVDepth.
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
JierunChen/FasterNet
[CVPR 2023] Code for PConv and FasterNet
gaoxiang12/slambook
PacktPublishing/Modern-CMake-for-Cpp
Modern CMake for C++, published by Packt
skyhehe123/VoxSeT
Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds (CVPR 2022)
tusen-ai/SST
Code for a series of work in LiDAR perception, including SST (CVPR 22), FSD (NeurIPS 22), FSD++ (TPAMI 23), FSDv2, and CTRL (ICCV 23, oral).
tyjiang1997/awesome-Automanous-3D-detection-methods
StiphyJay/FastPillars
FastPillars: A Deployment-friendly Pillar-based 3D Detector
dragen1860/Deep-Learning-with-PyTorch-Tutorials
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
AutoVision-cloud/SA-Det3D
[ICCVW-2021] SA-Det3D: Self-attention based Context-Aware 3D Object Detection
Hub-Tian/Awesome-3D-Detectors
Paperlist of awesome 3D detection methods
hailanyi/TED
Transformation-Equivariant 3D Object Detection for Autonomous Driving
Vegeta2020/SE-SSD
SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud, CVPR 2021.
darylclimb/cvml_project
Projects and application using computer vision and machine learning
PaddlePaddle/PaddleClas
A treasure chest for visual classification and recognition powered by PaddlePaddle
open-mmlab/mmyolo
OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.
NVIDIA-AI-IOT/CUDA-PointPillars
A project demonstrating how to use CUDA-PointPillars to deal with cloud points data from lidar.
ChanChiChoi/awesome-Face_Recognition
papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;
Miraclelucy/dive_into_deep_learning
✔️李沐 【动手学深度学习】课程学习笔记:使用pycharm编程,基于pytorch框架实现。
open-mmlab/mmdeploy
OpenMMLab Model Deployment Framework
autowarefoundation/autoware
Autoware - the world's leading open-source software project for autonomous driving
zhulf0804/PointPillars
A Simple PointPillars PyTorch Implementation for 3D LiDAR(KITTI) Detection.