Mangosteen Fruit Detection Using Improved Faster R-CNN-Reference-Cited by-同舟云学术

Mangosteen Fruit Detection Using Improved Faster R-CNN

Published:2022 Issue: Volume: Page:366-375
ISSN:2367-4512
Container-title:Intelligence of Things: Technologies and Applications
language:
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Author:

Trinh Trung Hai^ORCID,Bui Xuan Thien,Tran Thu Huong,Nguyen Ha Huy Cuong,Ninh Khanh Duy

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-15063-0_35

Reference21 articles.

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2. Girshick, R.: Fast R-CNN. In: Proceedings of the IEEE International Conference on Computer Vision (ICCV), pp. 1440–1448 (2015)

3. Ren, S., He, K., Girshick, R., Sun, J.: Faster R-CNN towards real-time object detection with region proposal networks. In: Proceedings of the IEEE International Conference on Computer Vision, Santiago, pp. 1440–1448 (2016)

4. Redmon, J., Divvala, S., Girshick, R., Farhadi, A.: You only look once unified, real-time object detection. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, pp. 779–788 (2016). https://doi.org/10.48550/arXiv.1506.02640

5. Song, Y., Glasbey, C.A., Horgan, G.W., Polder, G., Dieleman, J.A., Heijden, G.V.D.: Tomatic fruit recognition and counting from multiple images. Biosyst. Eng. 118, 203–215 (2014). https://doi.org/10.1016/j.biosystemseng.2013.12.008

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