Open Challenges in Learning Vision Systems
نویسندگان
چکیده
Automated image interpretation and object recognition is an important task in numerous applications ranging from video surveillance to brain tumor identification. While demands for vision systems steadily grow, manual engineering is still among the core development techniques. In this paper we discuss adaptive learning vision systems. The challenges related to taskoriented image interpretation and object categorization and recognition are illustrated with recent research efforts.
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