Zongqian Zhan
IEEE Geoscience and Remote Sensing Letters · 2019
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Whom Zongqian Zhan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Zongqian Zhan overall
Papers from Zongqian Zhan's perspective
Ordered by how strongly the researchers Zongqian Zhan trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Automatic differentiation in PyTorch
- Focal Loss for Dense Object Detection
- A Deep Convolutional Coupling Network for Change Detection Based on Heterogeneous Optical and Radar Images (IEEE Transactions on Neural Networks and Learning Systems)
- Change Detection Based on Deep Siamese Convolutional Network for Optical Aerial Images
- Fully Convolutional Networks for Multisource Building Extraction From an Open Aerial and Satellite Imagery Data Set (IEEE Transactions on Geoscience and Remote Sensing)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- ImageNet classification with deep convolutional neural networks
- Going deeper with convolutions