Learning Context Flexible Attention Model for Long-Term Visual Place Recognition

IEEE Robotics and Automation Letters, Volume 3, Issue 4, 2018, Pages 4015-4022.

Cited by: 26|Bibtex|Views48
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Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

Identifying regions of interest in an image has long been of great importance in a wide range of tasks, including place recognition. In this letter, we propose a novel attention mechanism with flexible context, which can be incorporated into existing feedforward network architecture to learn image representations for long-term place recog...More

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