Simultaneous object detection and ranking with weak supervision

Simultaneous object detection and ranking with weak supervision

A standard approach to learning object category detectors is to provide strong supervision in the form of a region of interest (ROI) specifying each instance of the object in the training images. In this work are goal is to learn from heterogeneous labels, in which some images are only weakly superv...

書誌詳細
主要な著者:	Blaschko, MB, Vedaldi, A, Zisserman, A
フォーマット:	Conference item
言語:	English
出版事項:	Curran Associates 2011

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