Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters

CVPR 2017 Shiyu HuangDeva Ramanan

As autonomous vehicles become an every-day reality, high-accuracy pedestrian detection is of paramount practical importance. Pedestrian detection is a highly researched topic with mature methods, but most datasets focus on common scenes of people engaged in typical walking poses on sidewalks... (read more)

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