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3차원 합성곱 신경망 기반 향상된 스테레오 매칭 알고리즘
왕지엔,노재규,Wang, Jian,Noh, Jackyou 대한임베디드공학회 2021 대한임베디드공학회논문지 Vol.16 No.5
For stereo matching based on deep learning, the design of network structure is crucial to the calculation of matching cost, and the time-consuming problem of convolutional neural network in image processing also needs to be solved urgently. In this paper, a method of stereo matching using sparse loss volume in parallax dimension is proposed. A sparse 3D loss volume is constructed by using a wide step length translation of the right view feature map, which reduces the video memory and computing resources required by the 3D convolution module by several times. In order to improve the accuracy of the algorithm, the nonlinear up-sampling of the matching loss in the parallax dimension is carried out by using the method of multi-category output, and the training model is combined with two kinds of loss functions. Compared with the benchmark algorithm, the proposed algorithm not only improves the accuracy but also shortens the running time by about 30%.
중국의 농산물 수출가격 차별 행위 분석: 마늘과 콩을 중심으로
조규대 ( Gue Dae Cho ),왕지엔 ( Jian Wang ),김민경 ( Minkyoung Kim ) 한국축산경영학회,농업정책학회(구 한국축산경영학회) 2015 농업경영정책연구 Vol.42 No.3
Recently, there have been a lot of studies examining the effect of Korea-China FTA on Korean agricultural sector. Many of the studies, however, are based on the assumption of the perfect competition of world agricultural market, which should be tested empirically. In this paper, using Knetter’s empirical model, which can test the level of market competition, we examined the pricing to market (PTM) behavior of Chinese exporters in several gallic and bean importing countries for pre- and post-WTO era. More price discrimination across destinations was observed after China joined the WTO, and this might imply that there will be a potential pricing to market behavior of China in Korean agricultural market after Korea-China FTA becomes effective.