Method, hard negative proposer, and classifier for supporting to collect hard negative images using a similarity map
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United States of America Patent
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Sep 22, 2015
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app pub date -
May 11, 2015
filing date -
May 11, 2015
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Abstract
A method for supporting to collect hard negative image is provided. The method includes the steps of: (a) a classifier receiving from a hard negative proposer, and classifying, hard negative image candidate corresponding to a certain label candidate or a specific label candidate judged to have semantic or visual relationship with a target object; and (b) the classifier (i) allowing the hard negative proposer to select an additional label candidate whose similarity to the certain label candidate or the specific label candidate exceeds a preset degree of similarity, if a percentage or a number of the hard negative image candidate mistaken for having the target object is judged to satisfy a prefixed condition, (ii) receiving at least one additional hard negative image candidate corresponding to the selected additional label candidate and (iii) classifying the additional hard negative image candidate.
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