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