Image Semantic Segmentation of Underwater Garbage with Modified U-Net Architecture Model

Autonomous underwater garbage grasping and collection pose a great challenge to underwater robots. To assist underwater robots in locating and recognizing underwater garbage objects efficiently, a modified U-Net-based architecture consisting of a deeper contracting path and an expansive path is prop...

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Egile Nagusiak:	Lifu Wei, Shihan Kong, Yuquan Wu, Junzhi Yu
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2022-08-01
Saila:	Sensors
Gaiak:	underwater garbage collection semantic segmentation deep learning U-Net
Sarrera elektronikoa:	https://www.mdpi.com/1424-8220/22/17/6546
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