YOLF-ShipPnet: Improved RetinaNet with Pyramid Vision Transformer
Abstract In the field of ship detection, the intricate nature of ship images arises from a multitude of factors, including variations in ship orientation, color contrasts, and diverse shapes. These factors collectively contribute to the challenge of achieving high detection precision. Thus, it is ne...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2023-04-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44196-023-00235-4 |