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Abstract Water surface floating waste collection using uncrewed surface vehicles (USVs) is essential for combating pollution caused by floating waste. However, the unique challenges of water surface images collected by vision sensors, such as small object sizes, wave disturbances, light reflections, and shoreline shadows, significantly reduce the effectiveness of existing object detection methods for identifying floating objects.
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