Activity Driven Weakly Supervised Object Detection
CVPR, pp. 2917-2926, 2019.
We propose a model that leverages these observations to train object detection models from samples annotated only with action labels
Weakly supervised object detection aims at reducing the amount of supervision required to train detection models. Such models are traditionally learned from images/videos labelled only with the object class and not the object bounding box. In our work, we try to leverage not only the object class labels but also the action labels associ...More
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