chenchkx / virus

Virus dataset, image set dataset.

The Virus dataset contains 15 different categories. For each category, there are 5 object instances. The useage of this image set dataset can refer to:

BibTex :

@article{chen2020covariance,
  title={Covariance Descriptors on a Gaussian Manifold and their Application to Image Set Classification},
  author={Chen, Kai-Xuan and Ren, Jie-Yi and Wu, Xiao-Jun and Kittler, Josef},
  journal={Pattern Recognition},
  pages={107463},
  year={2020},
  publisher={Elsevier}
}

BibTex :

@inproceedings{chen2019more,
  title={More About Covariance Descriptors for Image Set Coding: Log-Euclidean Framework based Kernel Matrix Representation},
  author={Chen, Kai-Xuan and Wu, Xiao-Jun and Ren, Jie-Yi and Wang, Rui and Kittler, Josef},
  booktitle={Proceedings of the IEEE International Conference on Computer Vision Workshops},
  pages={0--0},
  year={2019}
}

The above image set dataset is from [1]. We divide the images of each category equally into five different image sets and obtain seventy-five image sets.

[1] G. Kylberg, M. Uppstrom, I.-M. Sintorn, Virus texture analysis using local binary patterns and radial density profiles, in: Iberoamerican Congress on Pattern Recognition, Springer, 2011, pp. 573–580.