Enhanced Pollen Classification via Hybrid Neural Network With Attention Mechanism and View Separation: An Equatorial and Polar Approach

Enhanced Pollen Classification via Hybrid Neural Network With Attention Mechanism and View Separation: An Equatorial and Polar Approach

Accurate classification of pollen grains is crucial for various fields, including ecology and food engineering. However, current approaches often face challenges due to limited data and the morphological variability of pollen grains. This study proposes a novel methodology emphasizing the separation...

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Bibliographic Details
Main Authors: Julio Cesar da Silva Soares, Kelson Romulo Teixeira Aires, Juliana do Nascimento Bendini, Wesley Vitor Barbosa Brandao, Rodrigo de Melo Souza Veras
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Pollen grains pollen
view pseudo-labeling
deep learning
convolutional neural networks
data augmentation
transfer learning and attention mechanisms
Online Access:https://ieeexplore.ieee.org/document/10969807/
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https://ieeexplore.ieee.org/document/10969807/

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