The devil is in the details: an evaluation of recent feature encoding methods

@inproceedings{Chatfield2011TheDI,
  title={The devil is in the details: an evaluation of recent feature encoding methods},
  author={Ken Chatfield and Victor S. Lempitsky and Andrea Vedaldi and Andrew Zisserman},
  booktitle={BMVC},
  year={2011}
}
A large number of novel encodings for bag of visual words models have been proposed in the past two years to improve on the standard histogram of quantized local features. Examples include locality-constrained linear encoding [23], improved Fisher encoding [17], super vector encoding [27], and kernel codebook encoding [20]. While several authors have reported very good results on the challenging PASCAL VOC classification data by means of these new techniques, differences in the feature… CONTINUE READING
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