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Visual Learning and Recognition: Difference between revisions
Visual Learning and Recognition (view source)
Revision as of 17:05, 15 September 2020
, 15 September 2020→Lecture 3 September 8, 2020
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If we have very few images, we are working on an extrapolation problem. | If we have very few images, we are working on an extrapolation problem. | ||
As we approach an infinite number of training samples, learning becomes an interpolation problem. | As we approach an infinite number of training samples, learning becomes an interpolation problem. | ||
Traditional datasets are in the order of | Traditional datasets are in the order of <math>10^2-10^4</math> training samples. | ||
Current datasets are in the order of | Current datasets are in the order of <math>10^5-10^7</math> training samples. | ||
In tiny images <ref name="torralba2008tinyimages"></ref>, Torrabla ''et al.'' use 80 million tiny images. | In tiny images <ref name="torralba2008tinyimages"></ref>, Torrabla ''et al.'' use 80 million tiny images. | ||