Looking Inside Category: Subcategory-Aware Object Recognition

@article{Dong2015LookingIC,
  title={Looking Inside Category: Subcategory-Aware Object Recognition},
  author={Jian Dong and Qiang Chen and Jiashi Feng and Kui Jia and ZhongYang Huang and Shuicheng Yan},
  journal={IEEE Transactions on Circuits and Systems for Video Technology},
  year={2015},
  volume={25},
  pages={1322-1334}
}
In this paper, we present a subcategory-aware recognition framework to boost category level object classification performance. Different from the existing monolithic model approaches, we aim to automatically leverage the embedded subcategory structure to assist the further category level recognition. Motivated by the observation of considerable intra-class diversities and inter-class ambiguities in many current object classification data sets, we explicitly split data into subcategories by… CONTINUE READING

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References

Publications referenced by this paper.
Showing 1-10 of 53 references

Ensemble of exemplar-SVMs for object detection and beyond

2011 International Conference on Computer Vision • 2011
View 8 Excerpts
Highly Influenced

Latent hierarchical structural learning for object detection

2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition • 2010
View 8 Excerpts
Highly Influenced

Object Detection with Discriminatively Trained Part-Based Models

IEEE Computer • 2014
View 5 Excerpts
Highly Influenced

Discriminative Sub-categorization

2013 IEEE Conference on Computer Vision and Pattern Recognition • 2013
View 3 Excerpts
Highly Influenced

Segmentation as selective search for object recognition

2011 International Conference on Computer Vision • 2011
View 5 Excerpts
Highly Influenced

Combining efficient object localization and image classification

2009 IEEE 12th International Conference on Computer Vision • 2009
View 5 Excerpts
Highly Influenced

Distinctive Image Features from Scale-Invariant Keypoints

International Journal of Computer Vision • 2004
View 4 Excerpts
Highly Influenced

Contextualizing Object Detection and Classification

IEEE Trans. Pattern Anal. Mach. Intell. • 2015
View 8 Excerpts

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