Fine-grained visual comparisons

Aron Yingbo Yu
Beyond recognizing objects, a computer vision system ought to be able to compare them. A promising way to represent visual comparisons is through attributes, which are mid-level properties that appear across category boundaries. The ability to compare attributes opens up new opportunities in areas such as online shopping, object recognition, and human biometrics, where a relative decision is often more informative than its binary counterpart. For example, given two human faces, a decision that one...
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