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107,004
A discriminatively trained, multiscale, deformable part model
- In IEEE Conference on Computer Vision and Pattern Recognition (CVPR-2008
, 2008
"... This paper describes a discriminatively trained, multiscale, deformable part model for object detection. Our system achieves a two-fold improvement in average precision over the best performance in the 2006 PASCAL person detection challenge. It also outperforms the best results in the 2007 challenge ..."
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Cited by 555 (11 self)
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This paper describes a discriminatively trained, multiscale, deformable part model for object detection. Our system achieves a two-fold improvement in average precision over the best performance in the 2006 PASCAL person detection challenge. It also outperforms the best results in the 2007
in the Deformable Parts Model?
"... Abstract. The Deformable Parts Model (DPM) has recently emerged as a very useful and popular tool for tackling the intra-category diversity problem in object detection. In this paper, we summarize the key insights from our empirical analysis of the important elements constituting this detector. More ..."
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Abstract. The Deformable Parts Model (DPM) has recently emerged as a very useful and popular tool for tackling the intra-category diversity problem in object detection. In this paper, we summarize the key insights from our empirical analysis of the important elements constituting this detector
Active Deformable Part Models
"... This paper presents an active approach for part-based object detection, which optimizes the order of part filter evaluations and the time at which to stop and make a prediction. Statistics, describing the part responses, are learned from training data and are used to formalize the part scheduling pr ..."
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responses. The method is faster than cascade detection with deformable part models (which does not optimize the part order) with negligible loss in ac-curacy when evaluated on the PASCAL VOC 2007 and 2010 datasets. 1.
Deformable Part Models with CNN Features
"... Abstract. In this work we report on progress in integrating deep convo-lutional features with Deformable Part Models (DPMs). We substitute the Histogram-of-Gradient features of DPMs with Convolutional Neu-ral Network (CNN) features, obtained from the top-most, fifth, convolu-tional layer of Krizhevs ..."
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Cited by 5 (2 self)
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Abstract. In this work we report on progress in integrating deep convo-lutional features with Deformable Part Models (DPMs). We substitute the Histogram-of-Gradient features of DPMs with Convolutional Neu-ral Network (CNN) features, obtained from the top-most, fifth, convolu-tional layer
Active Deformable Part Models Inference
"... Abstract. This paper presents an active approach for part-based ob-ject detection, which optimizes the order of part filter evaluations and the time at which to stop and make a prediction. Statistics, describing the part responses, are learned from training data and are used to for-malize the part s ..."
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Cited by 1 (0 self)
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responses. The method is faster than cascade detection with deformable part models (which does not optimize the part order) with negligible loss in accuracy when evaluated on the PASCAL VOC 2007 and 2010 datasets. 1
Segmentation-aware Deformable Part Models
"... In this work we propose a technique to combine bottom-up segmentation, coming in the form of SLIC superpixels, with sliding window detectors, such as Deformable Part Models (DPMs). The merit of our approach lies in ‘cleaning up ’ the low-level HOG features by exploiting the spatial support of SLIC s ..."
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Cited by 2 (1 self)
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In this work we propose a technique to combine bottom-up segmentation, coming in the form of SLIC superpixels, with sliding window detectors, such as Deformable Part Models (DPMs). The merit of our approach lies in ‘cleaning up ’ the low-level HOG features by exploiting the spatial support of SLIC
How important are ‘deformable parts’ in the deformable parts model
- In ECCV Workshop on Parts and Attributes
, 2012
"... Abstract. The Deformable Parts Model (DPM) has recently emerged as a very useful and popular tool for tackling the intra-category diversity problem in object detection. In this paper, we summarize the key insights from our empirical analysis of the important elements constituting this detector. More ..."
Abstract
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Cited by 41 (4 self)
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Abstract. The Deformable Parts Model (DPM) has recently emerged as a very useful and popular tool for tackling the intra-category diversity problem in object detection. In this paper, we summarize the key insights from our empirical analysis of the important elements constituting this detector
Cascade Object Detection with Deformable Part Models ∗
"... We describe a general method for building cascade classifiers from part-based deformable models such as pictorial structures. We focus primarily on the case of star-structured models and show how a simple algorithm based on partial hypothesis pruning can speed up object detection by more than one or ..."
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Cited by 168 (5 self)
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We describe a general method for building cascade classifiers from part-based deformable models such as pictorial structures. We focus primarily on the case of star-structured models and show how a simple algorithm based on partial hypothesis pruning can speed up object detection by more than one
Spatiotemporal Deformable Part Models for Action Detection
"... Deformable part models have achieved impressive performance for object detection, even on difficult image datasets. This paper explores the generalization of deformable part models from 2D images to 3D spatiotemporal volumes to better study their effectiveness for action detection in video. Actions ..."
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Cited by 36 (2 self)
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Deformable part models have achieved impressive performance for object detection, even on difficult image datasets. This paper explores the generalization of deformable part models from 2D images to 3D spatiotemporal volumes to better study their effectiveness for action detection in video. Actions
Deformable Parts Model Head Detections
, 2014
"... ● For crowds the bodies are are almost entirely occluded. ● Only heads visible. ..."
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● For crowds the bodies are are almost entirely occluded. ● Only heads visible.
Results 1 - 10
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107,004