RicePest-DETR: A transformer-based model for accurately identifying small rice pest by end-to-end detection mechanism-Reference-Cited by-同舟云学术

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RicePest-DETR: A transformer-based model for accurately identifying small rice pest by end-to-end detection mechanism

Published:2025-08 Issue: Volume:235 Page:110373
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Liu Jianqi^ORCID,Zhou Canyang,Zhu Yujun,Yang Bicun,Liu Guanghua,Xiong Yilin

Funder

National Natural Science Foundation of China

Guangxi Key Research and Development Program

Key Technologies Research and Development Program of Guangzhou

Publisher

Elsevier BV

Reference45 articles.

1. TIDE: A general toolbox for identifying object detection errors;Bolya,2020

2. Pelk: Parameter-efficient large kernel ConvNets with peripheral convolution;Chen,2024

3. Omni-kernel network for image restoration;Cui;Proc. AAAI Conf. Artif. Intell.,2024

4. ImageNet: A large-scale hierarchical image database;Deng,2009

5. Scaling up your kernels to 31× 31: Revisiting large kernel design in CNNs;Ding,2022

Cited by 1 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. Towards accurate field counting of small pests with visual prompts;Computers and Electronics in Agriculture;2025-10

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