Attention Driven Multimodal Fusion: Application of Manual Templates in Feature aggregation-Reference-Cited by-同舟云学术

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Attention Driven Multimodal Fusion: Application of Manual Templates in Feature aggregation

Published:2024-01-26 Issue: Volume: Page:878-886
ISSN:
Container-title:Proceedings of the 3rd International Conference on Computer, Artificial Intelligence and Control Engineering
language:
Short-container-title:

Author:

Yu Kejian¹^ORCID,Xu WenWen¹^ORCID,Wu Yunzhi¹^ORCID

Affiliation:

1. School of Information and Artificial Intelligence, Anhui Agricultural University, China

Funder

Special Funding for Anhui Province's Characteristic Agricultural Industry Technology System

Anhui Province Beidou Precision Agriculture Information Engineering Laboratory Open Fund Projec

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3672758.3672903

Reference13 articles.

1. Weakly supervised attention-based models using activation maps for citrus mite and insect pest classification

2. Application of transfer learning and image augmentation technology for tomato pest identification

3. Explainable deep convolutional neural networks for insect pest recognition

4. Classification of crop pests based on multi-scale feature fusion

5. Optimized deep residual network system for diagnosing tomato pests

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