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NTIS 바로가기반도체디스플레이기술학회지 = Journal of the semiconductor & display technology, v.22 no.2, 2023년, pp.128 - 132
Recently, with the development of deep learning technology, research on pedestrian attribute recognition technology using deep neural networks has been actively conducted. Existing pedestrian attribute recognition techniques can be obtained in such a way as global-based, regional-area-based, visual ...
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Y. Deng, P. Luo, C. C. Loy, and X. Tang, "Pedestrian attribute recognition at far distance," ACM Int. Conf.?Multimedia, pp. 789-792, 2014.?
I. N. Junejo and N. Ahmed, "A multi-branch separable?convolution neural network for pedestrian attribute?recognition," Heliyon, Vol. 6, No. 3, e03563, 2020.?
X. Liu, H. Zhao, M. Tian, L. Sheng, J. Shao, S. Yi, J.?Yan, and X. Wang, "Hydraplus-net: Attentive deep?features for pedestrian analysis," IEEE Int. Conf.?Comput. Vis., pp. 350-359, 2017.?
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C. S. Park, "Performance Analysis of DNN inference?using OpenCV Built in CPU and GPU Functions,"?Journal of the Semiconductor & Display Technology,?Vol. 21, No. 1, pp. 75-78, 2022.
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