HPatches: A benchmark and evaluation of handcrafted and learned local descriptors

Abstract
In this paper, a novel benchmark is introduced for evaluating local image descriptors. We demonstrate limitations of the commonly used datasets and evaluation protocols, that lead to ambiguities and contradictory results in the literature. Furthermore, these benchmarks are nearly saturated due to the recent improvements in local descriptors obtained by learning from large annotated datasets. To address these issues, we introduce a new large...
Paper Details
Title
HPatches: A benchmark and evaluation of handcrafted and learned local descriptors
Published Date
Jan 1, 2019
Pages
1 - 1
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