Instance Annotation via Optimal BoW for Weakly Supervised Object Localization

In this paper, we aim at irregular-shape object localization under weak supervision. With over-segmentation, this task can be transformed into multiple-instance context. However, most multiple-instance learning methods only emphasize single most positive instance in a positive bag to optimize bag-le...

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Veröffentlicht in:	IEEE transactions on cybernetics 2017-05, Vol.47 (5), p.1313-1324
Hauptverfasser:	Wang, Liantao, Meng, Deyu, Hu, Xuelei, Lu, Jianfeng, Zhao, Ji
Format:	Artikel
Sprache:	eng
Schlagworte:	Bag-of-words (BoWs) Birds Context Image segmentation instance annotation Labeling Labelling Localization object localization Optimization Search problems Videos weakly supervised learning
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