Localization-Aware Active Learning for Object Detection

16 Jan 2018Chieh-Chi KaoTeng-Yok LeePradeep SenMing-Yu Liu

Active learning - a class of algorithms that iteratively searches for the most informative samples to include in a training dataset - has been shown to be effective at annotating data for image classification. However, the use of active learning for object detection is still largely unexplored as determining informativeness of an object-location hypothesis is more difficult... (read more)

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