Underwater scene segmentation by deep neural network

A deep neural network architecture is proposed in this paper for underwater scene semantic segmentation. The architecture consists of encoder and decoder networks. Pretrained VGG-16 network is used as a feature extractor, while the decoder learns to expand the lower resolution feature maps. The netw...

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Bibliographic Details

Main Authors:	Yang Zhou, Jiangtao Wang, Baihua Li, Qinggang Meng, Emanuele Rocco, Andrea Saiani
Format:	Default Conference proceeding
Published:	2019
Subjects:	Other information and computing sciences not elsewhere classified untagged Information and Computing Sciences not elsewhere classified
Online Access:	https://hdl.handle.net/2134/37229
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