Multi-task Deep Learning Networks with Machine-Train-Machine Migration Learning for Pose Estimation and Depth Prediction

碩士 === 國立交通大學 === 資訊科學與工程研究所 === 108 === Deep learning faces two barriers, having needs on large numbers of training data and a huge amount of numerical operations respectively. Distressingly, the process of labeling training data is strenuous. Complex deep learning networks typically spend time on...

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Bibliographic Details
Main Authors: Shih, Bo-Wun, 施博文
Other Authors: İk, Tsì-Uí
Format: Others
Language:en_US
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/bf62un