Enhancing Few-Shot Image Classification With a Multi-Faceted Self-Supervised and Contrastive Learning Approach
One effective approach for solving few-shot classification is learning deep representations that measure the similarity between query images and a few support images of specific categories. Recent methods overly relied on a single metric, resulting in insufficient interdependence in image feature re...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10746489/ |
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