Swin Routiformer: Moss Classification Algorithm Based on Swin Transformer With Bi-Level Routing Attention

Swin Routiformer: Moss Classification Algorithm Based on Swin Transformer With Bi-Level Routing Attention

Accurate classification of moss species is essential for progress in ecology and biology. However, traditional methods for classifying moss require significant expertise, and current deep learning techniques struggle due to limited dataset diversity and poor performance in multi-class classification...

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Bibliographic Details
Main Authors: Peichen Li, Huiqin Wang, Zhan Wang, Ke Wang, Chong Wang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Moss classification
deep learning
attention mechanism
image classification
swin transformer
Online Access:https://ieeexplore.ieee.org/document/10496696/

Internet

https://ieeexplore.ieee.org/document/10496696/

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