Learning Graphs to Model Visual Objects across Different Depictive Styles
نویسندگان
چکیده
This figure provides a hint of the reason for the low performance of computer vision in such a problem. It shows the distribution of visual features for two specific classes. In each case, the distribution of art features is visually distinct from that of photo features. We want to address the problem that : how to capture the wide variation in visual appearance exhibited by visual objects across depictive styles?
منابع مشابه
Modelling Visual Objects Invariant to Depictive Style
Representing visual objects is an interesting open question of relevance to many important problems in Computer Vision such as classification and location. State of the art allows thousands of visual objects to be learned and recognised, under a wide range of variations including lighting changes, occlusion, point of view, and different object instances. Only a small fraction of the literature ...
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