Charles Chou's repositories
multi-objective-optimization-NSGA2
multi-objective optimization NSGA2
E_evaluation_algorithms_experiment
evaluation algorithms experiment(containing ACO, PSO, DE, NSGA3, GA et al)
awesome-papers
机器学习，深度学习，自然语言处理，计算机视觉方面的顶级期刊会议论文集
awesome-remote-sensing-change-detection
List of datasets, codes, and contests related to remote sensing change detection
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
best_view_points_3D
Figures
CenterNet
Object detection, 3D detection, and pose estimation using center point detection:
chinawindofmay.github.io
Websites for chinawindofmay
CRCPython
Image Analysis, Classification and Change Detection in Remote Sensing
Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
detectron2
Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.
E_OCP
MCLP of opitimal camera placement
geatpy
Evolutionary algorithm toolbox and framework with high performance for Python
Genetic-Algorithms
Simple Genetic Algorithms written by Python
NSGA-II
This is a python implementation of NSGA-II algorithm. NSGA is a popular non-domination based genetic algorithm for multi-objective optimization. It is a very effective algorithm but has been generally criticized for its computational complexity, lack of elitism and for choosing the optimal parameter value for sharing parameter σshare. A modified version, NSGA II was developed, which has a better sorting algorithm , incorporates elitism and no sharing parameter needs to be chosen a priori.
PaddleRS
Awesome Remote Sensing Toolkit based on PaddlePaddle.
Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Siamese-neural-network-for-change-detection
This repository contains the python code for a Siamese neural network to detect changes in aerial images using Tensorflow.
unet-pytorch
这是一个unet-pytorch的源码，可以训练自己的模型