youngyyp

youngyyp's Stars

• Yangsenqiao/vida

  [ICLR 2024] ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation

  Language:Python494

• atuannguyen/TIPI

  Language:Python9

• LINs-lab/ttab

  [ICML23] On Pitfalls of Test-Time Adaptation

  Language:Python10110

• deepinsight/insightface

  State-of-the-art 2D and 3D Face Analysis Project

  Language:Python23k5.4k

• hpc203/Dense-Head-Pose-Estimation-Face-Mesh-3D-Face-Reconstruction

  使用ONNXRuntime部署3D人脸重建，人脸Mesh，人头姿势估计，包含C++和Python两个版本的程序

  Language:C++375

• fredyzhang2018/startJacinto

  Language:Shell156

• Star-Clouds/CenterFace

  face detection

  Language:C++1.3k356

• ttanzhiqiang/onnx_tensorrt_project

  Support Yolov5(4.0)/Yolov5(5.0)/YoloR/YoloX/Yolov4/Yolov3/CenterNet/CenterFace/RetinaFace/Classify/Unet. use darknet/libtorch/pytorch/mxnet to onnx to tensorrt

  Language:C++20943

• hpc203/scrfd-opencv

  使用OpenCV部署SCRFD人脸检测，包含C++和Python两种版本的程序实现，本套程序只依赖opencv库就可以运行， 从而彻底摆脱对任何深度学习框架的依赖。

  Language:Python10632

• YZY-stack/Ultra_Fast_Lane_Detection_TensorRT

  An ultra fast tiny model for lane detection, using onnx_parser, TensorRTAPI, torch2trt to accelerate. our model support for int8, dynamic input and profiling. (Nvidia-Alibaba-TensoRT-hackathon2021)

  Language:Python14220

• udacity/CarND-LaneLines-P1

  Lane Finding Project for Self-Driving Car ND

  Language:Jupyter Notebook8122.9k

• hpc203/Ultra-Fast-Lane-Detection-v2-opencv-onnxrun

  分别使用OpenCV、ONNXRuntime部署Ultra-Fast-Lane-Detection-v2车道线检测，包含C++和Python两种版本的程序

  Language:C++447

• tim-learn/awesome-test-time-adaptation

  Collection of awesome test-time (domain/batch/instance) adaptation methods

  69348

• YuejiangLIU/awesome-source-free-test-time-adaptation

  A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation

  45842

• DianCh/AdaContrast

  Official repository of CVPR '22 paper "Contrastive Test-Time Adaptation"

  Language:Python906

• qinenergy/cotta

  [CVPR 2022] Official CoTTA Code for our paper Continual Test-Time Domain Adaptation

  Language:Python23625

• Albert0147/NRC_SFDA

  Code for our NeurIPS 2021 paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation'

  Language:Python699

• shaofengzeng/SuperPoint-Pytorch

  Pytorch Implementation of rpautrat/SuperPoint

  Language:Python17842

• ubc-vision/COTR

  Code release for "COTR: Correspondence Transformer for Matching Across Images"(ICCV 2021)

  Language:Python45758

• mihaidusmanu/d2-net

  D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

  Language:Jupyter Notebook783164

• magicleap/SuperPointPretrainedNetwork

  PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)

  Language:Python1.9k393

• PruneTruong/DenseMatching

  Dense matching library based on PyTorch

  Language:Python67280

• ducha-aiki/pydegensac

  Advanced RANSAC (DEGENSAC) with bells and whistles for H and F estimation

  Language:C++28335

• uoip/g2opy

  Python binding of SLAM graph optimization framework g2o

  Language:C++671177

• zju3dv/clean-pvnet

  Code for "PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation" CVPR 2019 oral

  Language:C++402105

• LZGMatrix/BOP19_CDPN_2019ICCV

  Language:Python5713

• shahyash10/DPOD

  DPOD: 6D Pose Estimator

  Language:Python9731

• ylabbe/cosypose

  Code for "CosyPose: Consistent multi-view multi-object 6D pose estimation", ECCV 2020.

  Language:Python30289

• janblumenkamp/esa-kelvin-pose-estimation

  Language:Jupyter Notebook2

• iMeleon/EECS-498-007-598-005-solutions

  EECS 498-007 / 598-005 Deep Learning for Computer Vision

  Language:Jupyter Notebook14733