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Updated: Sep 9, 2025

Infrared Degenerate Four-wave Mixing with Upconversion Detection for Quantitative Gas Sensing
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赤外線ガス漏れセグメンテーションのためのダイナミックマルチカーネル学習によるYOLOv8-Seg: 弱く監督されたアプローチ

Haoyang Shen1, Lushuai Xu2,3, Mingyue Wang4

  • 1College of Carbon Neutral Energy, China University of Petroleum, Beijing 102249, China.

Sensors (Basel, Switzerland)
|August 28, 2025
PubMed
まとめ

この研究は,アンカーボックスの注釈を備えた改良されたYOLOv8セグネットワークを使用して,石油およびガス施設におけるガス漏れ検出を強化します. この新しい方法は,赤外線ガス漏れ画像のセグメンテーションの精度を大幅に高めています.

キーワード:
YOLOv8-セグメント信頼度加算赤外線ガスの漏れマスク生成多部門の協力

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