Paper-Learning
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
- 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
- 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
- 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
- U-Net Convolutional Networks for Biomedical Image Segmentation
- Mask R-CNN
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
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