yikuizhai
PhD, Beihang University; Full Professor, WYU; Visiting Scholar, Milan University; Senior Member, IEEE
Wuyi UniversityJiangmen, Guangdong, China
Pinned Repositories
caffe
Caffe: a fast open framework for deep learning.
ContainerText
CRCN
Coherence + Recurrent Neural Network + Convolutional Neural Network
DeepFace
基于Caffe实现的深度学习人脸识别、脸脸检测、人脸关键点检测等工作
DGMA2-Net
Implementation of DGMA2-Net: A Difference-Guided Mutiscale Aggregation Attention Network for Remote Sensing Image Change Detection
DVLT
PDPA-PAN
UAV-BCD
UAV-BCD:The proposed dataset contains 2024 pairs of finely registered high-resolution images collected by UAVs and their corresponding pixel-level labels, which can provide a new benchmark for RSCD. We evaluate the effectiveness of UAV-BCD with the five state-of-art deep neural networks in RSCD.
UAV-CD
This repository is used to publish UAV-CD datasets
WPCD-DATASET
Therefore, we construct a comprehensive and large-scale open-world public benchmark dataset for workpiece counting, called Workpiece Counting Dataset (WPCD), which includes 121,475 instances of workpieces from 351 different categories.Our code and dataset can be found at https://sites.google. com/view/wpcd.
yikuizhai's Repositories
yikuizhai/PDPA-PAN
yikuizhai/DGMA2-Net
Implementation of DGMA2-Net: A Difference-Guided Mutiscale Aggregation Attention Network for Remote Sensing Image Change Detection
yikuizhai/WPCD-DATASET
Therefore, we construct a comprehensive and large-scale open-world public benchmark dataset for workpiece counting, called Workpiece Counting Dataset (WPCD), which includes 121,475 instances of workpieces from 351 different categories.Our code and dataset can be found at https://sites.google. com/view/wpcd.
yikuizhai/UAV-CD
This repository is used to publish UAV-CD datasets
yikuizhai/dlib-android-app
:dragon: Android app to demo dlib-android(https://github.com/tzutalin/dlib-android)
yikuizhai/SelfExSR
Single Image Super-Resolution from Transformed Self-Exemplars (CVPR 2015)
yikuizhai/UAV-BCD
UAV-BCD:The proposed dataset contains 2024 pairs of finely registered high-resolution images collected by UAVs and their corresponding pixel-level labels, which can provide a new benchmark for RSCD. We evaluate the effectiveness of UAV-BCD with the five state-of-art deep neural networks in RSCD.
yikuizhai/UCSFH-Net
yikuizhai/ContainerText
yikuizhai/DVLT
yikuizhai/AEGL-Net
AEGL-Net: Adaptive Multiscale Global-Local Feature Fusion Network for Remote Sensing Change Detection
yikuizhai/caf_face_detection
Implement Yahoo Paper: Multi-view Face Detection Using Deep Convolutional Neural Networks
yikuizhai/caffe-vdsr
A Caffe-based implementation of very deep convolution network for image super-resolution
yikuizhai/Container-Nameplate-Dataset
yikuizhai/DADC
yikuizhai/DBCG-Net-master
yikuizhai/DCSTNet
yikuizhai/DiffuSAR
yikuizhai/dlib-1
A toolkit for making real world machine learning and data analysis applications in C++
yikuizhai/dlib-android
:dragon: Port dlib to Android
yikuizhai/DS-HyFA-Net
About Implementation of DS-HyFA-Net: A Deeply Supervised Hybrid Feature Aggregation Network with Multi-Encoders for Change Detection in High-Resolution Imagery
yikuizhai/GMTNet
yikuizhai/logistic-reg
Logistic regression from scratch with NumPy
yikuizhai/mstar_deeplearning_project
Radar target classification, detection and recognition using deeplearning methods on MSTAR dataset
yikuizhai/mstar_with_machine_learning
Simple implementation of sar target recognition using machine learning methods
yikuizhai/numpy-cn
NumPy官方中文文档（完整版）
yikuizhai/PBSD-Net
yikuizhai/PythonQuantitativeFinance
专注于分享Python在金融领域的应用，欢迎关注微信公众号: Python金融量化 （id：tkfy920）
yikuizhai/qstock
qstock由“Python金融量化”公众号开发，试图打造成个人量化投研分析包，目前包括数据获取（data）、可视化(plot)、选股(stock)和量化回测（策略backtest）模块。 qstock将为用户提供简洁的数据接口和规整化后的金融市场数据。可视化模块为用户提供基于web的交互图形的简单接口； 选股模块提供了同花顺的选股数据和自定义选股，包括RPS、MM趋势、财务指标、资金流模型等； 回测模块为大家提供向量化（基于pandas）和基于事件驱动的基本框架和模型。 关注“Python金融量化“微信公众号，获取更多应用信息。
yikuizhai/SRLab
single image super resolution algorithm implementation