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Youmeng Luo, Wei Li, Xiaoyu Ma and Kaiqiang Zhang
With the continuous progress of image retrieval technology, in the field of image retrieval, the speed of a search for a desired image from a great deal of image data becomes a hot issue. Convolutional Neural Networks (CNN) have been used in the field of...
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Tiffany T. Ly, Jie Wang, Kanchan Bisht, Ukpong Eyo and Scott T. Acton
Automatic glia reconstruction is essential for the dynamic analysis of microglia motility and morphology, notably so in research on neurodegenerative diseases. In this paper, we propose an automatic 3D tracing algorithm called C3VFC that uses vector fiel...
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Yang Zheng, Jieyu Zhao, Yu Chen, Chen Tang and Shushi Yu
With the widespread success of deep learning in the two-dimensional field, how to apply deep learning methods from two-dimensional to three-dimensional field has become a current research hotspot. Among them, the polygon mesh structure in the three-dimen...
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Shiuan Wan, Mei-Ling Yeh and Hong-Lin Ma
Generation of a thematic map is important for scientists and agriculture engineers in analyzing different crops in a given field. Remote sensing data are well-accepted for image classification on a vast area of crop investigation. However, most of the re...
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In this paper, we propose a semantic segmentation method based on superpixel region merging and convolutional neural network (CNN), referred to as regional merging neural network (RMNN). Image annotation has always been an important role in weakly-superv...
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Bing Li; Acton, S.T.
Pág. 2096 - 2106
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