ESA-Net: An efficient scale-aware network for small crop pest detection

Author:

Dong ShifengORCID,Teng Yue,Jiao Lin,Du Jianming,Liu Kang,Wang Rujing

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference45 articles.

1. Automated Pest Detection with DNN on the Edge for Precision Agriculture;Albanese;IEEE Journal on Emerging and Selected Topics in Circuits and Systems,2021

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3. Chen, K., Wang, J., Pang, J., Cao, Y., Xiong, Y., Li, X., Sun, S., Feng, W., Liu, Z., Xu, J., Zhang, Z., Cheng, D., Zhu, C., Cheng, T., Zhao, Q., Li, B., Lu, X., Zhu, R., Wu, Y., … Lin, D. (2019). MMDetection: Open MMLab Detection Toolbox and Benchmark. ArXiv Preprint ArXiv:1906.07155.

4. Chen, X., Fang, H., Lin, T.-Y., Vedantam, R., Gupta, S., Dollár, P., & Zitnick, C. L. (2015). Microsoft coco captions: Data collection and evaluation server. ArXiv Preprint ArXiv:1504.00325.

5. Chollet, F. (2017). Xception: Deep learning with depthwise separable convolutions. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 1251–1258.

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