Diversified Fisher kernel: encoding discrimination in Fisher features to compete deep neural models for visual classification task

Author:

Ahmed Sarah1,Azim Tayyaba1ORCID

Affiliation:

1. Center of Excellence in ITInstitute of Management SciencesPeshawarPakistan

Funder

Higher Education Commision, Pakistan

Nvidia

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Reference47 articles.

1. Distinctive Image Features from Scale-Invariant Keypoints

2. Csurka G. Dance C. Fan L.et al.: ‘Visual categorization with bags of keypoints’.In Workshop on Statistical Learning in Computer Vision ECCV Prague 2004 1 pp.1–2

3. Lazebnik S. Schmid C. Ponce J.: ‘Beyond bags of features: spatial pyramid matching for recognizing natural scene categories’.2006 IEEE Computer Society Conf. on Computer Vision and Pattern Recognition (CVPR'06) New York USA 2006 pp.2169–2178

4. Perronnin F. Sanchez J. Mensink T.: ‘Improving the Fisher Kernel for large‐scale image classification’.European Conf. on Computer Vision Germany 2010 pp.143–156

5. Krizhevsky A. Sutskever I. Hinton G.: ‘Imagenet classification with deep convolutional neural networks’.Advances in Neural Information Processing Systems Lake Tahoe Nevada USA 2012 pp.1097–1105

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