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A Joint Parsing System for Visual Scene Understanding

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자료유형E-Book
개인저자Qi, Hang.
단체저자명University of California, Los Angeles. Computer Science 0201.
서명/저자사항A Joint Parsing System for Visual Scene Understanding.
발행사항[S.l.] : University of California, Los Angeles., 2018
발행사항Ann Arbor : ProQuest Dissertations & Theses, 2018
형태사항93 p.
소장본 주기School code: 0031.
ISBN9780438019713
일반주기 Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Adviser: Song-Chun Zhu.
요약The computer vision community has been long focusing on classic tasks such as object detection, human attributes classification, action recognition. While the state-of-the-art performance is getting improved every year for a wide range of tasks,
요약This dissertation contains three main parts.
요약Firstly, we describe a restricted visual Turing test scenario that evaluates computer vision systems across various tasks with a domain ontology and explicitly tests the grounding of concepts with formal queries. We present a benchmark for evalu
요약Secondly, we propose a scalable system which leverages off-the-shelf computer vision modules to parse cross-view videos jointly. The system defines a unified knowledge representation for information sharing and is extendable to new tasks and dom
요약Thirdly, we discuss a principled method to construct parse graph knowledge bases that retains rich structures and grounding details. By casting questions into graph fragments, we present a graph-matching based question-answering system that retr
일반주제명Computer science.
언어영어
기본자료 저록Dissertation Abstracts International79-10B(E).
Dissertation Abstract International
대출바로가기http://www.riss.kr/pdu/ddodLink.do?id=T14998800

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