When underwater imagery analysis meets deep learning: A solution at the age of big visual data

Li Xiu
Li Xiu
Yang Zhixiong
Yang Zhixiong
Shang Min
Shang Min

OCEANS 2015 - MTS/IEEE Washington, 2016.

Cited by: 7|Bibtex|Views3
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Other Links: academic.microsoft.com

Abstract:

Underwater imagery processing is in great demand, while the research is far from enough. The unrestricted natural environment makes it a challenging task. On the other hand, prior to the advent of cabled observatories, the majority of deep-sea video data was acquired by remotely operated vehicles (ROVs), and was analyzed and annotated man...More

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