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    SIFTing the Relevant from the Irrelevant: Automatically Detecting Objects in Training Images
    14 years 17 days ago
    SIFTing the Relevant from the Irrelevant: Automatically Detecting Objects in Training Images
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    Many state-of-the-art object recognition systems rely on identifying the location of objects in images, in order to better learn its visual attributes. In this paper, we propose fo...
    Edmond Zhang, Michael Mayo
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