Scalable Object Detection by Filter Compression with Regularized Sparse Coding

碩士 === 國立臺灣大學 === 資訊工程學研究所 === 103 === For practical applications, an object detection system requires huge number of classes to meet real world needs. Many successful object detection systems use part-based model which trains several filters (classifiers) for each class to perform multiclass object...

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Bibliographic Details
Main Authors: Ting-Hsuan Chao, 趙廷軒
Other Authors: Winston Hsu
Format: Others
Language:en_US
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/58394139843926118307