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» The Pascal Visual Object Classes (VOC) Challenge
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DAGM
2008
Springer
13 years 9 months ago
A Multiple Kernel Learning Approach to Joint Multi-class Object Detection
Most current methods for multi-class object classification and localization work as independent 1-vs-rest classifiers. They decide whether and where an object is visible in an imag...
Christoph H. Lampert, Matthew B. Blaschko
ICCV
2011
IEEE
12 years 7 months ago
Semantic Contours from Inverse Detectors
We study the challenging problem of localizing and classifying category-specific object contours in real world images. For this purpose, we present a simple yet effective method ...
Bharath Hariharan, Pablo Arbelaez, Lubomir Bourdev...
CVPR
2010
IEEE
14 years 3 months ago
Global and Efficient Self-Similarity for Object Classification and Detection
Self-similarity is an attractive image property which has recently found its way into object recognition in the form of local self-similarity descriptors [5, 6, 14, 18, 23, 27] In...
Thomas Deselaers, Vittorio Ferrari
CVPR
2009
IEEE
15 years 2 months ago
An Empirical Study of Context in Object Detection
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...
Alexei A. Efros, Derek Hoiem, James Hays, Martial ...
PAMI
2010
351views more  PAMI 2010»
13 years 5 months ago
Evaluating Color Descriptors for Object and Scene Recognition
—Image category recognition is important to access visual information on the level of objects and scene types. So far, intensity-based descriptors have been widely used for featu...
Koen E. A. van de Sande, Theo Gevers, Cees G. M. S...