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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| Main Authors: | Yuhui LI, Huixia CUI, Yaomin LI, Senping JIA |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Science Press (China)
2025-04-01
|
| Series: | 水下无人系统学报 |
| Subjects: | |
| Online Access: | https://sxwrxtxb.xml-journal.net/cn/article/doi/10.11993/j.issn.2096-3920.2024-0182 |
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