WheatNet-Lite: A Novel Light Weight Network for Wheat Head Detection-Reference-Cited by-同舟云学术

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WheatNet-Lite: A Novel Light Weight Network for Wheat Head Detection

Published:2021-10 Issue: Volume: Page:
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Container-title:2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
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Author:

Bhagat Sandesh,Kokare Manesh,Haswani Vineet,Hambarde Praful,Kamble Ravi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9607382/9607383/09607700.pdf?arnumber=9607700

Cited by 29 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. Detection of rice panicle density for unmanned harvesters via RP-YOLO;Computers and Electronics in Agriculture;2024-11

2. MFNet: Multi-scale feature enhancement networks for wheat head detection and counting in complex scene;Computers and Electronics in Agriculture;2024-10

3. Lightweight Wheat Spike Detection Method Based on Activation and Loss Function Enhancements for YOLOv5s;Agronomy;2024-09-06

4. YOLO-LF: a lightweight multi-scale feature fusion algorithm for wheat spike detection;Journal of Real-Time Image Processing;2024-08

5. Ensemble of ghost convolution block with nested transformer encoder for dense object recognition;Biomedical Signal Processing and Control;2024-02

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