xi-mao

xi-mao's Stars

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python32.4k3139314.8k

• deepinsight/insightface

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

  Language:Python23.6k5142.5k5.4k

• lukemelas/EfficientNet-PyTorch

  A PyTorch implementation of EfficientNet

  Language:Python7.9k1322961.5k

• ChaoningZhang/MobileSAM

  This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!

  Language:Jupyter Notebook4.9k43125505

• cvg/LightGlue

  LightGlue: Local Feature Matching at Light Speed (ICCV 2023)

  Language:Python3.4k49108339

• z-x-yang/Segment-and-Track-Anything

  An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.

  Language:Jupyter Notebook2.9k51154343

• liu-jianhao/Cpp-Design-Patterns

  C++设计模式

  Language:C++2.4k442601

• Tencent/TFace

  A trusty face analysis research platform developed by Tencent Youtu Lab

  Language:Python1.3k34131227

• google-deepmind/tapnet

  Tracking Any Point (TAP)

  Language:Jupyter Notebook1.3k31122127

• siyuanliii/masa

  Official Implementation of CVPR24 highligt paper: Matching Anything by Segmenting Anything

  Language:Python1k584066

• megvii-research/MOTR

  [ECCV2022] MOTR: End-to-End Multiple-Object Tracking with TRansformer

  Language:Python633148093

• thohemp/6DRepNet

  Official Pytorch implementation of 6DRepNet: 6D Rotation representation for unconstrained head pose estimation.

  Language:Python553114074

• fengyang95/pyCFTrackers

  Python re-implementation of some correlation filter based tracker

  Language:Python5281827115

• DavidZhangdw/Visual-Tracking-Development

  Visual Object Tracking

  Language:Python45014357

• bertinetto/staple

  [CVPR'16] Staple: Complementary Learners for Real-Time Tracking"

  Language:Matlab244158110

• weilanhanf/python-design-patterns

  Python 实现23种设计模式

  Language:Python2226079

• deepcam-cn/FaceQuality

  An implementation of EQFace: A Simple Explicit Quality Network for Face Recognition (https://arxiv.org/abs/2105.00634, CVPRW 2021)

  Language:Python18351433

• MCG-NJU/MeMOTR

  [ICCV 2023] MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object Tracking

  Language:Python15862211

• xuduo35/STAPLE

  C++ implementation of staple algorithm for object tracking.

  Language:C++1217548

• abhineet123/MTF

  Modular Tracking Framework

  Language:C++100112123

• Ali2500/BURST-benchmark

  Language:Python745112

• Superlee506/Correlation_Filtering_Tracking_Lib

  Correlation filter based tracking algorithms(KCF, DSST, STAPLE) implemented by C++. [C++实现的与相关滤波相关的跟踪算法（KCF, DSST, Staple）]

  Language:C++713226

• zhanxinrui/HDN

  Homography Decomposition Networks for Planar Object Tracking

  Language:Python57288

• goutamyg/SMAT

  [WACV 2024] Separable Self and Mixed Attention Transformers for Efficient Object Tracking

  Language:Python313125

• armanrahman22/Facial-Recognition-and-Alignment

  Face recognition using Tensorflow

  Language:Jupyter Notebook19507

• siyuanliii/SLAck

  Official Implementation of ECCV2024 paper: SLAck

  19410

• Z-Xiong/OSTrack-mnn

  Mnn version demo of [ECCV2022] Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework.

  Language:Python16142

• LinChen-Cherry/POIC

  9111

• LinChen-Cherry/GOP-ESM

  Language:Matlab8213

• YaqiLYU/hangzhou_house_knowledge

  2017年买房经历总结出来的买房购房知识分享给大家，希望对大家有所帮助。买房不易，且买且珍惜。Sharing the knowledge of buy an own house that according to the experience at hangzhou in 2017 to all the people. It's not easy to buy a own house, so I hope that it would be useful to everyone.

  Language:CSS4301