A lightweight underwater fish image semantic segmentation model based on U‐Net
Abstract Semantic segmentation of underwater fish images is vital for monitoring fish stocks, assessing marine resources, and sustaining fisheries. To tackle challenges such as low segmentation accuracy, inadequate real‐time performance, and imprecise location segmentation in current methods, a nove...
| الحاوية / القاعدة: | IET Image Processing |
|---|---|
| المؤلفون الرئيسيون: | , , |
| التنسيق: | مقال |
| اللغة: | الإنجليزية |
| منشور في: |
Wiley
2024-10-01
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://doi.org/10.1049/ipr2.13161 |