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dynamic_detection_and_tracking

(2018) Dynamic detection and tracking in UAV scenarios (C++Version); Moving obect detection in dynamic background; Feature point detection

efscf

(2022) Enhanced robust spatial feature selection and correlation filter learning for UAV tracking

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

fgvc

[ECCV 2020] Flow-edge Guided Video Completion

fsod-code

fucolot

Matlab implementation of FuCoLoT tracker

garbage_classification

(2020)Deployment of garbage classification model based on wed service

garbage_classify-1

最严垃圾分类政策自7月1日颁布，如何进行垃圾分类已经成为居民生活的灵魂拷问。但是，没关系！AI在垃圾分类的应用可以成为居民的得力助手。本次垃圾分类挑战杯，目的在于构建基于深度学习技术的图像分类模型，实现垃圾图片类别的精准识别，大赛参考深圳垃圾分类标准，按可回收物、厨余垃圾、有害垃圾和其他垃圾四项分类。

gfm

[IJCV 2022] Bridging Composite and Real: Towards End-to-end Deep Image Matting

github-readme-stats

:zap: Dynamically generated stats for your github readmes

heatmap-in-person-re-identification

如何在行人重识别领域针对图像画出热度图

honglinchu

ios-lightweight-openpose

Lightweight OpenPose on iOS

kcf_apce

标准KCF加上APCE

light-reid

[ECCV2020] a toolbox of light-reid learning for faster inference, speed both feature extraction and retrieval stages up to >30x

micronet

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

micronet-1

mmrotate

mnn_demo

🥭 移动端MNN部署学习笔记。支持Android与iOS。

mobileface

A face recognition solution on mobile device.

mobilefacenet_pytorch

MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices

mobilefacenet_tutorial_pytorch

This repo illustrates how to implement MobileFaceNet and Arcface for face recognition task

mobilepose

Light-weight Single Person Pose Estimator

mobilesal

[IEEE TPAMI21] MobileSal: Extremely Efficient RGB-D Salient Object Detection [PyTorch & Jittor]

modnet

A Trimap-Free Solution for Portrait Matting in Real Time

mtcnn-kcf

用mtcnn检测人脸，使用kcf进行人脸跟踪

nanocls

Deep learning-based mobile model deployment(Garbage Classification), NCNN

nanodet

⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

nanotrack

Deep learning-based mobile model deployment(Object Tracking). Lightweight Object Tracking, NCNN,

number_detection_recognition

keras-text-number-detection（AdvancedEAST+ CRNN）