人工智能，论文学习，主要研究深度学习处理遥感影像和地名识别

High resolution remote sensing imagery

• Deep Learning Earth Observation Classification Using ImageNet Pretrained Networks
• AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene Classification
• A Survey on Transfer Learning
• How transferable are features in deep neural networks?
• Transfer learning using convolutional neural networks for object classification within X-ray baggage security imagery
• DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
• Land Use and Land Cover Classification Using Deep Learning Techniques
• Rethinking the Inception Architecture for Computer Vision
• Very deep convolutional networks for large-scale image recognition
• Deep Learning for Remote Sensing Data
• Novel Deep Learning Model for Traffic Sign Detection Using Capsule
• Deep Feature Fusion for VHR Remote Sensing Scene Classification
• Remote Sensing Image Scene Classification Using Rearranged Local Features
•  基于卷积神经网络的图像语义分割
• 基于深度卷积神经网络的遥感影像车辆检测
• 基于改进全卷积神经网络的航拍图像语义分类方法
• 联合显著性和多层卷积神经网络的高分影像场景分类

Hyperspectral remote sensing imagery

• Spectral–Spatial Classification of Hyperspectral Imagery with 3D Convolutional Neural Network
• Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks
• Deep Learning for Remote Sensing Data
• BASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification
• Spectral–Spatial Feature Extraction for Hyperspectral Image Classification: A Dimension Reduction and Deep Learning Approach
• Deep Residual Networks for Hyperspectral Image Classification
• Spectral–Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework
• Empirical Evaluation of Rectified Activations in Convolution Network
• DualNet Learn Complementary Features for Image Recognition
• 3D Convolutional Neural Networks For Human Action Recognition
• Spectral-Spatial Classification of Hyperspectral Image Using Autoencoders
• Spectral-Spatial Classification of Hyperspectral Imagery with 3D convolution neural network
• Hyperspectral Remote Sensing Data Analysis and Future Challenges
• Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks
• DeepRoadMapper Extracting Road Topology from Aerial Image
• RoadTracer: Automatic Extraction of Road Networks from Aerial Images
• Dynamic Routing Between Capsules
• Densely Connected Convolutional Network
• 3D Densely Connected Convolutional Network for the Recognition of Human Shopping Actions
• Deep learning for semantic segmentation of remote sensing images with rich spectral content
• Sparsely Connected Convolutional Networks
• Residual Dense Network for Image Super-Resolution
• Squeeze-and-Excitation Network
• Spatial Transformer Networks
• Deformable Convolutional Network
• Hyperspectral Image Classification with Deep Feature Fusion Network
• Recent Advances on Spectral-Spatial Hyperspectral Image Classification: An Overview and New Guidelines
• Diracnets Training very deep neural networks without skip-connections
• Deformable Convolutional Neural Networks for Hyperspectral Image Classification
• Non-local Neural Networks
• Convolutional Neural Networks with Alternately Updated Clique
• DenseNet-Based Depth-Width Double Reinforced Deep Learning Neural Network for High-Resolution Remote Sensing Image Per-Pixel Classification
• Multi-scale dense networks for resource efficient image classification
• Dual Path Network
• Aggregated Residual Transformations for Deep Neural Networks
• Neural Aggregation Network for Video Face Recognition
• HSI-CNN:A Novel Convolution Neural Network for Hyperspectral Image
• Bidierctional-Convolutional LSTM Based Spectral-Spatial Feature Learning for Hyperspectral Image Classification
• Convolutional LSTM network: A Machine learning Approach for Precipitation Nowcasting
• Spatial Sequential Recurrent Neural Network for Hyperspectral Image Classification
• Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
• Attention-Mechanism-Containing Neural Networks for High-Resolution Remote Sensing Image Classification
• D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction
• Remote Sensing Image Scene Classification Using Rearranged Local Features
• Dual-Path Network-Based Hyperspectral Image Classification
• Decoupled network
• Deep layer aggregation
• EffNet: An efficient structure for convolutional neural network
• Mobilenets:Efficient convlutional neural networks for mobile vision applications
• Mobilenet v2:Inverted Residuals and Linear Bottlenecks Mobile Networks for Classification,Detection and Segmentation
• 从摄影测量到计算机视觉
• 高光谱遥感数据光谱特征的提取与应用
• 高光谱遥感图像空谱联合分类方法研究
• 基于深度神经网络的高光谱影响分类方法研究
• 一种利用空间和光谱信息的高光谱遥感多分类器动态集成算法
• 高光谱遥感影像分类研究进展
• 基于卷积神经网的高光谱数据特征提取及分类技术研究
• 基于深度卷积神经网络的遥感图像处理
• 基于卷积神经网络的高光谱数据分类方法研究

Object Detection

• YoloV3
• YoloV2
• YoloV1
• SSD Single shot multibox detector
• DSSD : Deconvolutional Single Shot Detector
• Rich feature hierarchies for accurate object detection and semantic segmentation
• Fast R-CNN
• Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
• R-FCN: Object Detection via Region-based Fully Convolutional Networks
• Feature Pyramid Networks for Object Detection
• Mask R-CNN
• Speed/accuracy trade-offs for modern convolutional objects detectors
• 改进的YOLOV3遥感图像飞机识别应用
• 基于深度视感知学习的目标检测算法与应用研究
• 深度卷积网络卫星图像水泥厂目标检测

Semantic segmentation

• U-Net Convolutional Networks for Biomedical Image Segmentation
• Semantic Segmentation of Small Objects and Modeling of Uncertainty in Urban Remote Sensing Images Using Deep Convolutional Neural Networks
• Fully convolutional networks for semantic segmentation
• CRSNet: Dilated Convolutional Neural Networks for Underatanding the Highly Congested Scenes

Others

• Dropout: A Simple Way to Prevent Neural Networks from Overfitting
• Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
• Hetero-ConvLSTM: A Deep Learning Approach to Traffic Accident Prediction on Heterogeneous Spatio-Temporal Data
• Deep Learning of Binary Hash Codes for Fast Image Retrieval
• Anytime Stereo Image Depth Estimation on Mobile Devices
• Learning Transferable Architectures for Scalable image recognition
• Efficient Neural Architecture Search via Parameter Sharing
• Auto-keras: Efficient neural architecture search with network morphism
• AdaNet: Adaptive Structural Learning of Artificial Neural Networks
• Real-time Convolutional Neural Networks for Emotion and Gener Classification
• Rethinking ImageNet Pre-training
• Wide & Deep Learning for Recommender System
• Dropblock: A regularization method for convolutional network
• 人脸特征点提取方法综述
• 连续特征离散化方法综述

NER location

• Bidirectional LSTM-CRF Models for Sequence Tagging
• Neural Architectures for Named Entity Recognition
• Character-Based LSTM-CRF with Radical-Level Features for Chinese Named Entity Recognition
• Attention is all you need
   

Books

• 解析卷积神经网络 - 深度学习实践手册
• Tensorflow实战Google深度学习框架
• Tensorflow实战
•  深度学习
• 数字图像处理