The Pooled NBNN Kernel: Beyond Image-to-Class and Image-to-Image

  title={The Pooled NBNN Kernel: Beyond Image-to-Class and Image-to-Image},
  author={Konstantinos Rematas and Mario Fritz and Tinne Tuytelaars},
While most image classification methods to date are based on image-to-image comparisons, Boiman et al. have shown that better generalization can be obtained by performing image-to-class comparisons. Here, we show that these are just two special cases of a more general formulation, where the feature space is partitioned into subsets of different granularity. This way, a series of representations can be derived that trade-off generalization against specificity. Thereby we show a connection… CONTINUE READING
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