These encoding serve a similar purposes: summarizing in a vectorial statistic a number of local feature descriptors e. Similarly to bag of visual words, they assign local descriptor to elements in a visual dictionary, obtained with vector quantization KMeans in the case of VLAD or a Gaussian Mixture Models for Fisher Vectors. However, rather than storing visual word occurrences only, these representations store a statistics of the difference between dictionary elements and pooled local features.
Nn vlad models.
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