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auto-cnn-hsi-classification

Code for the paper "Automatic Design of Convolutional Neural Network for Hyperspectral Image Classification"

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome-remote-sensing-change-detection

List of datasets, codes, papers, and contests related to remote sensing change detection

change-detection-review

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

changedetectionrepository

This repository contains some python code of some traditional change detection methods or provides their original websites, such as SFA, MAD, and some deep learning-based change detection methods, such as SiamCRNN, DSFA, and some FCN-based methods.

chatgpt-next-web

One-Click to deploy well-designed ChatGPT web UI on Vercel. 一键拥有你自己的 ChatGPT 网页服务。

coordattention

Code for our CVPR2021 paper coordinate attention

darknet

Convolutional Neural Networks

deep-learning-interview-book

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

deeplabv3-tensorflow

使用deeplab_v3模型对遥感图像进行分割

deeplabv3_mobilenetv2_pytorch

A PyTorch Implementation of MobileNetv2+DeepLabv3

detection-of-multiclass-objects-in-optical-remote-sensing-images

Detection of Multiclass Objects in Optical Remote Sensing Images

dota_devkit

dropedge

This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

eesrgan

Small-Object Detection in Remote Sensing (satellite) Images with End-to-End Edge-Enhanced GAN and Object Detector Network

esfnet-pytorch

ESFNet-Pytorch

farseg

Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery (CVPR 2020) https://arxiv.org/pdf/2011.09766.pdf

high-resolution-remote-sensing-semantic-segmentation-pytorch

PyTorch实现高分遥感语义分割（地物分类）

hrnet-semantic-segmentation

This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

interview_internal_reference

2020年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。

keras_yolov3_mobilenet

This is YOLOv3 based on mobilement for object detection

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

learngit

This is a project for practicing Git

loveda

[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

portrait-matting-unet-flask

Portrait Mating implementation in UNet with PyTorch.

pt_mobilenetv2_deeplabv3

Fast accurate realtime segmentation with DeepLabV3 and MobileNetV2 backbone

pygcn

Graph Convolutional Networks in PyTorch

pytorch-gan

A minimal implementaion (less than 150 lines of code with visualization) of DCGAN/WGAN in PyTorch with jupyter notebooks

pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images