Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection

ICCV 2019 Keren YeMingda ZhangAdriana KovashkaWei LiDanfeng QinJesse Berent

Learning to localize and name object instances is a fundamental problem in vision, but state-of-the-art approaches rely on expensive bounding box supervision. While weakly supervised detection (WSOD) methods relax the need for boxes to that of image-level annotations, even cheaper supervision is naturally available in the form of unstructured textual descriptions that users may freely provide when uploading image content... (read more)

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