Sharing features between objects and their attributes
Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Sung Ju Hwang, Fei Sha,K. Grauman
Issue Date:June 2011
Visual attributes expose human-defined semantics to object recognition models, but existing work largely restricts their influence to mid-level cues during classifier training. Rather than treat attributes as intermediate features, we consider how learning...