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Content Provider | IEEE Xplore Digital Library |
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Author | Divvala, S.K. Hoiem, D. Hays, J.H. Efros, A.A. Hebert, M. |
Copyright Year | 2009 |
Description | Author affiliation: Univ. of Illinois Urbana-Champaign, Urbana, IL, USA (Hoiem, D.) || Carnegie Mellon Univ., Pittsburgh, PA, USA (Divvala, S.K.; Hays, J.H.; Efros, A.A.; Hebert, M.) |
Abstract | This paper presents an empirical evaluation of the role of context in a contemporary, challenging object detection task - the PASCAL VOC 2008. Previous experiments with context have mostly been done on home-grown datasets, often with non-standard baselines, making it difficult to isolate the contribution of contextual information. In this work, we present our analysis on a standard dataset, using top-performing local appearance detectors as baseline. We evaluate several different sources of context and ways to utilize it. While we employ many contextual cues that have been used before, we also propose a few novel ones including the use of geographic context and a new approach for using object spatial support. |
Starting Page | 1271 |
Ending Page | 1278 |
File Size | 2901162 |
Page Count | 8 |
File Format | |
ISBN | 9781424439928 |
ISSN | 10636919 |
DOI | 10.1109/CVPR.2009.5206532 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2009-06-20 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Object detection Layout Gas detectors Pixel Ocean temperature Computer vision Shape Context modeling Sea surface Cameras |
Content Type | Text |
Resource Type | Article |
Subject | Computer Vision and Pattern Recognition Software |
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