Robustness enhancement of CNN-based mosquito larva species classification with out of distribution-aware augmentation and ensemble learning
The findings demonstrate the value of combining robust backbone design, broader training distributions, and deployment-aware ensemble strategies for mosquito-larva classification, and the strongest overall balance of accuracy, robustness, and computational efficiency among the selected models.
Muhammad Usman Raza
· 0 citations