Automatic Generation of Visual Concept-based Explanations for Pest Recognition
Author:
Affiliation:
1. The University of Sheffield,Department of Computer Science,Sheffield,United Kingdom
Funder
Innovate UK
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10217218/10217836/10217975.pdf?arnumber=10217975
Reference22 articles.
1. Towards automated concept-based decision treeexplanations for cnns;shawi;In EDBT,2021
2. Towards automatic concept-based explanations;ghorbani;Advances in neural information processing systems,2019
3. Automatic Classification Service System for Citrus Pest Recognition Based on Deep Learning
4. Image Classification of Paddy Field Insect Pests Using Gradient-Based Features
5. An interpretable deep-learning architecture of capsule networks for identifying cell-type gene expression programs from single-cell RNA-sequencing data
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1. A High Accuracy Deep Learning and Iot Network for Pest Detection Using Analysis of The Pest Sound in Large Agriculture Area;2023 International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT);2023-11-23
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