Research on multi class pests identification and detection based on fusion attention mechanism with Mask-RCNN-CBAM
This study addresses challenges in agricultural pest detection, such as false positives and missed detections in complex environments, by proposing an enhanced Mask-RCNN model integrated with a Convolutional Block Attention Module (CBAM). The framework combines three innovations: (1) a CBAM attentio...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-05-01
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| Series: | Frontiers in Agronomy |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fagro.2025.1578412/full |
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