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» Learning to localize detected objects
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ICASSP
2010
IEEE
13 years 10 months ago
Visual saliency for automatic target detection, boundary detection, and image quality assessment
We present a visual saliency detection method and its applications. The proposed method does not require prior knowledge (learning) or any pre-processing step. Local visual descri...
Hae Jong Seo, Peyman Milanfar
CVPR
2007
IEEE
14 years 1 months ago
Improving Part based Object Detection by Unsupervised, Online Boosting
Detection of objects of a given class is important for many applications. However it is difficult to learn a general detector with high detection rate as well as low false alarm r...
Bo Wu, Ram Nevatia
ICCV
2011
IEEE
12 years 10 months ago
Center-surround Divergence of Feature Statistics for Salient Object Detection
In this paper, we introduce a new method to detect salient objects in images. The approach is based on the standard structure of cognitive visual attention models, but realizes th...
Dominik A. Klein, Simone Frintrop
KAIS
2006
77views more  KAIS 2006»
13 years 10 months ago
Finding centric local outliers in categorical/numerical spaces
Outlier detection techniques are widely used in many applications such as credit card fraud detection, monitoring criminal activities in electronic commerce, etc. These application...
Jeffrey Xu Yu, Weining Qian, Hongjun Lu, Aoying Zh...
ICCV
2005
IEEE
14 years 3 months ago
TemporalBoost for Event Recognition
This paper contributes a new boosting paradigm to achieve detection of events in video. Previous boosting paradigms in vision focus on single frame detection and do not scale to v...
Paul Smith, Niels da Vitoria Lobo, Mubarak Shah