EF-UODA: Underwater Object Detection Based on Enhanced Feature
Yunqin Zu,
Lixun Zhang,
Siqi Li
et al.
Abstract:The ability to detect underwater objects accurately is important in marine environmental engineering. Although many kinds of underwater object detection algorithms with relatively high accuracy have been proposed, they involve a large number of parameters and floating point operations (FLOPs), and often fail to yield satisfactory results in complex underwater environments. In light of the demand for an algorithm with the capability to extract high-quality features in complex underwater environments, we propose… Show more
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