Brain-inspired automated visual object discovery and detection

30 Sep 2019Lichao ChenSudhir SinghThomas KailathVwani Roychowdhury

Despite significant recent progress, machine vision systems lag considerably behind their biological counterparts in performance, scalability, and robustness. A distinctive hallmark of the brain is its ability to automatically discover and model objects, at multiscale resolutions, from repeated exposures to unlabeled contextual data and then to be able to robustly detect the learned objects under various nonideal circumstances, such as partial occlusion and different view angles... (read more)

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