Part-based models

Known as: Part Based Models 
Part-based models refers to a broad class of detection algorithms used on images, in which various parts of the image are used separately in order to… (More)
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Topic mentions per year

Topic mentions per year

2000-2016
0102020002016

Papers overview

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Highly Cited
2015
Highly Cited
2015
We propose bilinear models, a recognition architecture that consists of two feature extractors whose outputs are multiplied using… (More)
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2014
2014
The accuracy of object classifiers can significantly drop when the training data (source domain) and the application scenario… (More)
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2013
2013
In this paper we apply the deformable part model by Felzenszwalb et al., which is at this moment the state of the art in many… (More)
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Highly Cited
2012
Highly Cited
2012
Deformable part-based models [1, 2] achieve state-of-the-art performance for object detection, but rely on heuristic… (More)
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2012
2012
We consider the problem of parsing human poses and recognizing their actions in static images with part-based models. Most… (More)
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Highly Cited
2011
Highly Cited
2011
Weakly supervised discovery of common visual structure in highly variable, cluttered images is a key problem in recognition. We… (More)
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Highly Cited
2011
Highly Cited
2011
We describe a method for generating N-best configurations from part-based models, ensuring that they do not overlap according to… (More)
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Highly Cited
2011
Highly Cited
2011
The deformable part-based model (DPM) proposed by Felzenszwalb et al. has demonstrated state-of-the-art results in object… (More)
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Highly Cited
2009
Highly Cited
2009
We describe an object detection system based on mixtures of multiscale deformable part models. Our system is able to represent… (More)
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Highly Cited
2006
Highly Cited
2006
In this paper we investigate a new method of learning partbased models for visual object recognition, from training data that… (More)
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