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Abstract
Ⅰ. INTRODUCTION
Ⅱ. NEURAL NETWORK CLASSIFIER
Ⅳ. IMPLEMENTATION & MEASUREMENT
Ⅴ. CONCLUSIONS
REFERENCES
C. Szegedy, et al, “Going deeper with convolutions,” IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 1-9, Jun. 2015.
K. He, X. Zhang, S. Ren, and J. Sun, “Deep residual learning for image recognition,” IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 770-778, Jun. 2016.
S. Xie, et al, “Aggregated residual transformations for deep neural networks,” IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 5987-5995, Jul. 2017.
J. Redmon, et al, “You only look once: unified, real-time object detection,” IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 779-788, Jun. 2016.
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