Overview
We provide precomputed features, kernel matrices for three image datasets for attribute-based classification and zero-shot learning.
Please see [2] for a description of the features and kernels as well as baselines.A benchmark for Attribute Based Classification
We provide precomputed features, kernel matrices for three image datasets for attribute-based classification and zero-shot learning.
Please see [2] for a description of the features and kernels as well as baselines.version 1.0, May 9 2014:
[1] C. H. Lampert, H. Nickisch, and S. Harmeling. "Learning To Detect Unseen Object Classes by Between-Class Attribute Transfer". In CVPR, 2009. (pdf)
[2] C. H. Lampert, H. Nickisch, and S. Harmeling. "Attribute-Based Classification for Zero-Shot Visual Object Categorization" PAMI, 2014.(pdf)
[3] A. Farhadi, I. Endres, D. Hoiem, and D.A. Forsyth, "Describing Objects by their Attributes", CVPR 2009 (pdf)
[4] G. Patterson and J. Hays, "SUN attribute database: Discovering, annotating, and recognizing scene attributes," CVPR, 2012. (pdf)