OSAP‐Loss: Efficient optimization of average precision via involving samples after positive ones towards remote sensing image retrieval

OSAP‐Loss: Efficient optimization of average precision via involving samples after positive ones towards remote sensing image retrieval

Abstract In existing remote sensing image retrieval (RSIR) datasets, the number of images among different classes varies dramatically, which leads to a severe class imbalance problem. Some studies propose to train the model with the ranking‐based metric (e.g., average precision [AP]), because AP is...

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Bibliographic Details
Main Authors: Xin Yuan, Xin Xu, Xiao Wang, Kai Zhang, Liang Liao, Zheng Wang, Chia‐Wen Lin
Format: Article
Language:English
Published: Wiley 2023-12-01
Series:CAAI Transactions on Intelligence Technology
Subjects:
computer vision
image retrieval
metric learning
Online Access:https://doi.org/10.1049/cit2.12151

Internet

https://doi.org/10.1049/cit2.12151

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