126 citations · 152 across the 9 of their papers we have counts for
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cs.CV2019★ 19 cited
SESF-Fuse: An Unsupervised Deep Model for Multi-Focus Image Fusion
Boyuan Ma, Xiaojuan Ban, Haiyou Huang +1
In this work, we propose a novel unsupervised deep learning model to address multi-focus image fusion problem. First, we train an encoder-decoder network in unsupervised manner to…
cs.CV2019
Boundary Learning by Using Weighted Propagation in Convolution Network
Wei Liu, Jiahao Chen, Chuni Liu +5
In material science, image segmentation is of great significance for quantitative analysis of microstructures. Here, we propose a novel Weighted Propagation Convolution Neural Netw…
cond-mat.mtrl-sci2019★ 126 cited
Data augmentation in microscopic images for material data mining
Boyuan Ma, Xiaoyan Wei, Chuni Liu +10
Recent progress in material data mining has been driven by high-capacity models trained on large datasets. However, collecting experimental data (real data) has been extremely cost…