Author:
Dutta Amlan,Atik Ahmad,Bhadra Mriganka,Pal Abhijit,Khan Md Akram,Chakraborty Rupak
Publisher
Springer Nature Singapore
Reference18 articles.
1. Du, J.: Understanding of object detection based on CNN Family and YOLO.: IOP conference series. J. Phys. 1004(012029), 1–9 (2018)
2. Roska, T., Leon, O.: The CNN universal machine: an analogic array computer. IEEE Trans. Circuits Syst. II: Analog Digit. Signal. Process. 40, 163–173 (1993)
3. Ren, S., He, K., Girshick, R., Sun, J.: R-CNN: towards real-time object detection with region proposal networks. 1–14 (2016)
4. Liu, Y., LI, H., Yan, J., Wei, F., Wang, X., Tang, X.: Recurrent scale approximation for object detection in CNN. In: IEEE International Conference on Computer Vision (ICCV), pp. 2–7 (2017)
5. Howard, A.G., Zhu, M., Chen, B., et al.: MobileNets: efficient convolutional neural networks for mobile vision applications, arXiv:1704.04861v1
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