Kong, J.; Tang, S.; Feng, J.; Mo, L.; Jin, X.
AASNet: A Novel Image Instance Segmentation Framework for Fine-Grained Fish Recognition via Linear Correlation Attention and Dynamic Adaptive Focal Loss. Appl. Sci. 2025, 15, 3986.
https://doi.org/10.3390/app15073986
AMA Style
Kong J, Tang S, Feng J, Mo L, Jin X.
AASNet: A Novel Image Instance Segmentation Framework for Fine-Grained Fish Recognition via Linear Correlation Attention and Dynamic Adaptive Focal Loss. Applied Sciences. 2025; 15(7):3986.
https://doi.org/10.3390/app15073986
Chicago/Turabian Style
Kong, Jianlei, Shunong Tang, Jiameng Feng, Lipo Mo, and Xuebo Jin.
2025. "AASNet: A Novel Image Instance Segmentation Framework for Fine-Grained Fish Recognition via Linear Correlation Attention and Dynamic Adaptive Focal Loss" Applied Sciences 15, no. 7: 3986.
https://doi.org/10.3390/app15073986
APA Style
Kong, J., Tang, S., Feng, J., Mo, L., & Jin, X.
(2025). AASNet: A Novel Image Instance Segmentation Framework for Fine-Grained Fish Recognition via Linear Correlation Attention and Dynamic Adaptive Focal Loss. Applied Sciences, 15(7), 3986.
https://doi.org/10.3390/app15073986