Learning Local Features with Context Aggregation for Visual Localization

Keypoint detection and description is fundamental yet important in many vision applications. Most existing methods use detect-then-describe or detect-and-describe strategy to learn local features without considering their context information. Consequently, it is challenging for these methods to lear...

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Veröffentlicht in:	arXiv.org 2020-05
Hauptverfasser:	Hong, Siyu, Li, Kunhong, Zhang, Yongcong, Fu, Zhiheng, Liu, Mengyi, Guo, Yulan
Format:	Artikel
Sprache:	eng
Schlagworte:	Benchmarks Context Feature extraction Localization Semantics
Online-Zugang:	Volltext
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