Learning global image representation with generalized-mean pooling and smoothed average precision for large-scale CBIR
Content-based image retrieval (CBIR) is the problem of searching for items in an image database that are similar to the query image. Most of the existing image retrieval methods are trained based on metric learning loss functions (e.g. contrastive loss or triplet loss), however, which require the us...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
John Wiley and Sons Inc
2023
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |