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

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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

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