Multi-hierarchical Classification for Marine Organisms
This study proposes a multi-hierarchical classification method for marine organisms.Marine organisms are diverse,and organisms of the same phylum have strong inter-class similarity,while organisms of various phyla have large differences.Meanwhile,a multi-hierarchical classification method is designed by utilizing the similarity among species to help the network learn biological prior knowledge.Additionally,this study designs a C-MBConv module and improves the EfficientNetV2 network architecture by combining the multi-hierarchical classification method,and the improved network architecture is called CM-EfficientNetV2.The experiments show that CM-EfficientNetV2 has higher accuracy than the original network EfficientNetV2,with an accuracy improvement of 1.5%on the inter-tidal marine biology dataset of the Nanji Islands and 2%on CIFAR-100.
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