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...
| Главные авторы: | , , |
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| Формат: | Conference item |
| Язык: | English |
| Опубликовано: |
Curran Associates
2011
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