Pest Detection and Identification Guided by Feature Maps-Reference-Cited by-同舟云学术

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Pest Detection and Identification Guided by Feature Maps

Published:2023-10-16 Issue: Volume: Page:
ISSN:
Container-title:2023 Twelfth International Conference on Image Processing Theory, Tools and Applications (IPTA)
language:
Short-container-title:

Author:

Chen Miao¹,Chen Yanan¹,Guo Minghui¹,Wang Jianji¹

Affiliation:

1. Xi’an Jiaotong University,National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10319882/10319991/10320005.pdf?arnumber=10320005

Reference23 articles.

1. Densely Connected Convolutional Networks

2. Deep Residual Learning for Image Recognition

3. Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

4. Very deep convolutional networks for large-scale image recognition;simonyan,2014

5. ImageNet classification with deep convolutional neural networks

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Review on the High-Efficiency Detection and Precision Positioning Technology Application of Agricultural Robots;Processes;2024-08-28

2. Overview of Pest Detection and Recognition Algorithms;Electronics;2024-07-30

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