Unsupervised Learning of Important Objects from First-Person Videos

ICCV 2017 Gedas BertasiusHyun Soo ParkStella X. YuJianbo Shi

A first-person camera, placed at a person's head, captures, which objects are important to the camera wearer. Most prior methods for this task learn to detect such important objects from the manually labeled first-person data in a supervised fashion... (read more)

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