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Diagnosing Error in Object Detectors
Derek Hoiem , Antonio Torralba , Stefan Carlsson
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Oznake: computer science;computer vision;object recognition
This paper shows how to analyze the influences of object characteristics on detection performance and the frequency and impact of different types of false positives. In particular, we examine effects of occlusion, size, aspect ratio, visibility of parts, viewpoint, localization error, and confusion ...
Leto: 2012 Vir: videolectures.net
Št. zadetkov: 1
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