Real-time and embedded compact deep neural networks for seagrass monitoring

— We propose an efficient and robust segmentation network for automated seagrass region detection. The proposed network has a simple architecture to save computational demands as well as inference energy cost. More importantly, the scale of network can be feasibly adjusted, to balance the network co...

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Bibliographic Details

Main Authors:	Jiangtao Wang, Baihua Li, Yang Zhou, Qinggang Meng, Sante Rende, Emanuele Rocco
Format:	Default Conference proceeding
Published:	2020
Subjects:	Uncategorised value embedded systems marine science seagrass monitoring semantic segmentation Deep learning
Online Access:	https://hdl.handle.net/2134/12964874.v1
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