Sequential optimization for efficient high-quality object proposal generation

Sequential optimization for efficient high-quality object proposal generation

We are motivated by the need for a generic object proposal generation algorithm which achieves good balance between object detection recall, proposal localization quality and computational efficiency. We propose a novel object proposal algorithm, BING++, which inherits the virtue of good computation...

書誌詳細
主要な著者:	Zhang, Z, Liu, Y, Chen, X, Zhu, Y, Cheng, M, Saligrama, V, Torr, P
フォーマット:	Journal article
出版事項:	IEEE 2017

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