Real-Time Transformer Detection of Underwater Objects Based on Lightweight Gated Convolutional Network

To address the challenges in underwater object detection algorithms, including difficult image feature processing, redundant model architectures, and excessive parameter numbers, this paper proposed a real-time Transformer detection method for underwater objects based on a lightweight gated convolut...

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Xehetasun bibliografikoak

Egile Nagusiak:	Yuhui LI, Huixia CUI, Yaomin LI, Senping JIA
Formatua:	Artigo
Hizkuntza:	Chinês
Argitaratua:	Science Press (China) 2025-04-01
Saila:	水下无人系统学报
Gaiak:	underwater object detection lightweight network gated convolution transformer
Sarrera elektronikoa:	https://sxwrxtxb.xml-journal.net/cn/article/doi/10.11993/j.issn.2096-3920.2024-0182
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