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A Joint Parsing System for Visual Scene Understanding
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Qi, Hang. |
| 단체저자명 | University of California, Los Angeles. Computer Science 0201. |
| 서명/저자사항 | A Joint Parsing System for Visual Scene Understanding. |
| 발행사항 | [S.l.] : University of California, Los Angeles., 2018 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
| 형태사항 | 93 p. |
| 소장본 주기 | School code: 0031. |
| ISBN | 9780438019713 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Adviser: Song-Chun Zhu. |
| 요약 | The 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, |
| 요약 | This dissertation contains three main parts. |
| 요약 | Firstly, 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 |
| 요약 | Secondly, 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 |
| 요약 | Thirdly, 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 |
| 일반주제명 | Computer science. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International79-10B(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14998800 |
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| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00026143 | 004 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |
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