Cargando…
A Fine-Grained Recognition Neural Network with High-Order Feature Maps via Graph-Based Embedding for Natural Bird Diversity Conservation
The conservation of avian diversity plays a critical role in maintaining ecological balance and ecosystem function, as well as having a profound impact on human survival and livelihood. With species’ continuous and rapid decline, information and intelligent technology have provided innovative knowle...
Autores principales: | Xu, Xin, Yang, Cheng-Cai, Xiao, Yang, Kong, Jian-Lei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10048992/ https://www.ncbi.nlm.nih.gov/pubmed/36981832 http://dx.doi.org/10.3390/ijerph20064924 |
Ejemplares similares
-
Research on Fine-Grained Image Recognition of Birds Based on Improved YOLOv5
por: Yi, Xiaomei, et al.
Publicado: (2023) -
Graph neural network based coarse-grained mapping prediction
por: Li, Zhiheng, et al.
Publicado: (2020) -
Correction: Graph neural network based coarse-grained mapping prediction
por: Li, Zhiheng, et al.
Publicado: (2021) -
Improved Graph Embedding for Robust Recognition with outliers
por: Li, Peiyang, et al.
Publicado: (2018) -
Learning from Knowledge Graphs: Neural Fine-Grained Entity Typing with Copy-Generation Networks
por: Yu, Zongjian, et al.
Publicado: (2022)