Learning deep structured network for weakly supervised change detection

7 Jun 2016Salman H KhanXuming HeFatih PorikliMohammed BennamounFerdous SohelRoberto Togneri

Conventional change detection methods require a large number of images to learn background models or depend on tedious pixel-level labeling by humans. In this paper, we present a weakly supervised approach that needs only image-level labels to simultaneously detect and localize changes in a pair of images... (read more)

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