Melan-YOLO: a dual-strategy framework with custom architectures for accurate and efficient underwater object detection
Abstract Effective autonomous monitoring of marine litter is vital to reduce marine pollution and protect marine ecosystems. However, current underwater detection systems face significant challenges, primarily due to poor image quality caused by light scattering in turbid waters and the limited comp...
Salvato in:
| Autori principali: | , , |
|---|---|
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Portfolio
2026-05-01
|
| Serie: | Scientific Reports |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1038/s41598-026-55023-9 |
| Tags: |
Nessun Tag, puoi essere il primo ad aggiungerne!!
|