Diversified assessment benchmark of vision dataset-based perception in ship navigation scenario
Pages 282 - 287
Abstract
Visual object detection is one of the most important aspects of the autonomous ship's perception. In order to make various deep learning-based target detection models have a unified performance evaluation standard, we provide an image dataset in various ship navigation scenarios and its corresponding target detection benchmarks, optimize the target classification strategy, and use the real navigation scene dataset to train the milestone target detection models, which effectively proves that the object detection SOTA model has uneven performance in real specific scenarios. It is difficult to realize the industrial deployment of visual perception for autonomous ship navigation.
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- Diversified assessment benchmark of vision dataset-based perception in ship navigation scenario
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Published In
August 2022
309 pages
ISBN:9781450396912
DOI:10.1145/3556384
Copyright © 2022 ACM.
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Published: 29 October 2022
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SPML 2022
SPML 2022: 2022 5th International Conference on Signal Processing and Machine Learning
August 4 - 6, 2022
Dalian, China
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