2 papers
cs.CV2021
HexCNN: A Framework for Native Hexagonal Convolutional Neural Networks
Yunxiang Zhao, Qiuhong Ke, Flip Korn +2
Hexagonal CNN models have shown superior performance in applications such as IACT data analysis and aerial scene classification due to their better rotation symmetry and reduced an…
eess.IV2020
CSTNet: A Dual-Branch Convolutional Network for Imaging of Reactive Flows using Chemical Species Tomography
Yunfan Jiang, Jingjing Si, Rui Zhang +4
Chemical Species Tomography (CST) has been widely used for in situ imaging of critical parameters, e.g. species concentration and temperature, in reactive flows. However, even with…