Supervision Beyond Manual Annotations for Learning Visual Representations
For both humans and machines, understanding the visual world requires relating new percepts with past experience. We argue that a good visual representation for an image should encode what makes it similar to other images, enabling the recall of associated experiences. Current machine implementation...
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| Format: | Others |
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Research Showcase @ CMU
2016
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| Online Access: | http://repository.cmu.edu/dissertations/787 http://repository.cmu.edu/cgi/viewcontent.cgi?article=1826&context=dissertations |