Learning Object Categories from Google’s Image Search

By —Published On: January 4, 2021—0.3 min read—Views: 435—

We present an approach that can learn an object category from just its name, by utilizing the raw output of image search engines available on the Internet. We develop a new model, TSI-pLSA, which extends pLSA (as applied to visual words) to include spatial information in a translation and scale invariant manner.

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