Dual-Subspace Network for Few-Shot Fine-Grained Image Classification
Few-shot fine-grained image classification aims to recognize subcategories with high visual similarity using only a limited number of annotated samples. Existing metric learning-based methods typically rely solely on spatial-domain features. Confined to this single perspective, models inevitably suf...
Gorde:
| Egile Nagusiak: | , , , , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
MDPI AG
2026-05-01
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| Saila: | Applied Sciences |
| Gaiak: | |
| Sarrera elektronikoa: | https://www.mdpi.com/2076-3417/16/10/4664 |
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