Learning Class-to-Image Distance with Object Matchings

@article{Zhou2013LearningCD,
  title={Learning Class-to-Image Distance with Object Matchings},
  author={Guang-Tong Zhou and Tian Lan and Weilong Yang and Greg Mori},
  journal={2013 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2013},
  pages={795-802}
}
We conduct image classification by learning a class-to-image distance function that matches objects. The set of objects in training images for an image class are treated as a collage. When presented with a test image, the best matching between this collage of training image objects and those in the test image is found. We validate the efficacy of the proposed model on the PASCAL 07 and SUN 09 datasets, showing that our model is effective for object classification and scene classification tasks… CONTINUE READING