Sensing Population Distribution from Satellite Imagery Via Deep Learning:Model Selection, Neighboring Effects, and Systematic Biases
Tóm tắt
Từ khóa
Tài liệu tham khảo
simonyan, 2014, Very deep convolutional networks for large-scale image recognition
0, GHS-POP R2015A - Datasets - EU data portal - Europa Eu
doupe, 2016, Equitable development through deep learning:The case of sub-national population density estimation, Proc 7th Annu Symp Comput Develop, 1
0, LandScan USA, Arcgis com
0, Log hyperbolic cosine loss improves variational auto-encoder
yosinski, 0, How transferable are features in deep neural networks?, Proc 27th Int Conf Neural Inf Process Syst, 2, 3320
dobson, 2000, LandScan:A global population database for estimating populations at risk, Photogramm Eng Remote Sens, 69, 849
0, Oak ridge national laboratory
chollet, 2017, Xception:Deep learning with depthwise separable convolutions, Proc IEEE Conf Comput Vis Pattern Recognit, 1251
szegedy, 2017, Inception-v4, Inception-resnet and the impact of residual connections on learning, Proc AAAI Conf Artifi Intell, 31