Researchers have developed FSVL, a novel framework that combines fast and slow pathways for identifying fish species in the Middle Yangtze River Basin. The fast pathway, using ResNet50, achieves high preliminary accuracy, while a slow pathway with YOLOv8n refines identification for confusable species by analyzing key morphological regions. This system integrates with a Qwen3-14B language model for knowledge generation, significantly improving scientific name and genus accuracy, and ROUGE-L scores, aiding biodiversity monitoring and fisheries management. AI
IMPACT This framework could improve biodiversity monitoring and fisheries management through more accurate and efficient species identification.
RANK_REASON The item describes a new academic framework and its performance on a specific task, published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]
- FSVL
- LoRA+
- Middle Yangtze River Basin
- Qwen3 14B
- ResNet50
- Yangtze River basin
- Yangtze River Ten-Year Fishing Ban
- YOLOv8n
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