HPatches: A benchmark and evaluation of handcrafted and learned local descriptors
Pages: 1 - 1
Published: Jan 1, 2019
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
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History