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Data · dataset · 2026

RIP-YOLO:An efficient ship detection model based on improved YOLOv11n and model compression algorithm

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To address challenges such as the difficulty of detecting ships in complex sea environment, the multi-scale characteristics of vessels, and the high complexity of mainstream object detection models, which often fail to fully utilize discriminative features from key ship components at different scales.

Description

A lightweight ship detection model named RIP-YOLO, based on improved YOLOv11n and model compression algorithm is proposed. 

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Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.3750512 d agoJSON v1
FieldAssertionExtractorEvidence
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titlesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/title