A more efficient CNN architecture for plankton classification
Communications in Computer and Information Science, pp. 198-208, 2017.
With mass data collected by seafloor observation networks, an autonomous system which helps to annotate these pictures are in great demand. In this paper, we study the relationship between the network architecture and the classification accuracy for the Plankton Dataset collected by Oregon State University’s Hatfield Marine Science Center...More
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