Deep Learning Papers

To summarize the information of machine learning. This repository mainly focuses on the image processing and satellite image classification.

Issuesのテンプレ

テンプレに記載。

有名論文

Image Classification

• Fully Convolutional Networks for Semantic Segmentation
• U-Net: Convolutional Networks for Biomedical Image Segmentation
• EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

衛星画像解析

Image Segmentation

• Contextually guided very-high-resolution imagery classification with semantic segments
• Semantic Segmentation-Based Building Footprint　Extraction Using Very High-Resolution Satellite Images and Multi-Source GIS Data
• Object-Based Convolutional Neural Network for High-Resolution Imagery Classification
• Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks

Detection

• Vehicle Detection in Aerial Images Based on Region Convolutional Neural Networks and Hard Negative Example Mining
• Vehicle Detection in Satellite Images by Hybrid Deep Convolutional Neural Networks

Visualization

• Computing Ocean Surface Currents From GOCI Ocean Color Satellite Imagery
• Building Change Detection Using High Resolution　Remotely Sensed Data and GIS

Annotation

• Object Detection in Optical Remote Sensing Images Based on Weakly Supervised Learning and High-Level Feature Learning

その他

• An unsupervised approach to geographical knowledge　discovery using street level and street network images