Comparative Evaluation of Hand-Crafted and Learned Local Features
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Cites background or methods from "Comparative Evaluation of Hand-Craf..."
...Descriptorswith deep learning techniques can be regarded as an extension of those based on classical learning (Schonberger et al. 2017)....
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...From the abovementioned,we can know that several comprehensive and thorough evaluation of feature detectors and descriptors can be found in Komorowski et al. (2018), Lenc and Vedaldi (2014), Heinly et al. (2012) and Schonberger et al. (2017)....
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...D reconstruction task, including the works of Fan et al. (2019) and Schonberger et al. (2017)....
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...…a single part of image matching community, either focus on detectors (Huang et al. 2018; Lenc and Vedaldi 2014) or descriptors (Balntas et al. 2017; Schonberger et al. 2017) or specific matching tasks (Ferrante and Paragios 2017; Haskins et al. 2020; Yan et al. 2016b; Maiseli et al. 2017), and…...
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...2018; Lenc and Vedaldi 2014) or descriptors (Balntas et al. 2017; Schonberger et al. 2017) or specific matching tasks (Ferrante and Paragios 2017; Haskins et al....
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456 citations
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Cites background from "Comparative Evaluation of Hand-Craf..."
...the number of observation per 3D point, as defined by [16]....
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321 citations
References
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"Comparative Evaluation of Hand-Craf..." refers background in this paper
...Due to the exponential complexity in the number of outliers [10], it is practically more important to have good precision for manageable runtimes of geometric verification....
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