Semantic Segmentation of Underwater Imagery Using Deep Networks Trained on Synthetic Imagery
Recent breakthroughs in the computer vision community have led to the emergence of efficient deep learning techniques for end-to-end segmentation of natural scenes. Underwater imaging stands to gain from these advances, however, deep learning methods require large annotated datasets for model traini...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-08-01
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| Series: | Journal of Marine Science and Engineering |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2077-1312/6/3/93 |