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- W3202870334 abstract "The triplet-loss function is widely used in fields of descriptor extraction in recent years and owing to its good performance in various databases. However, some recent works make less effort on the relationship of adjacent descriptors from the same sample, which leads to the instability of descriptors and results in the mismatching problem in practical applications. To solve this problem, we introduce the topological relationship with the Normal Distribution Function (NDF) into the triplet loss function. The loss function establishes the relationship of descriptors from the same sample and considers the interrelation of descriptors from different types of samples. Furthermore, to increase the calculation speed, we normalize the algorithm NDF. Finally, we propose the triplet-loss function on three databases. These results demonstrate that our algorithm obtains better performance than state-of-the-art methods." @default.
- W3202870334 created "2021-10-11" @default.
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- W3202870334 date "2021-01-01" @default.
- W3202870334 modified "2023-09-25" @default.
- W3202870334 title "Normal Distribution Function on Descriptor Extraction" @default.
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- W3202870334 doi "https://doi.org/10.1007/978-3-030-87358-5_16" @default.
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