Meta-Generating Deep Attentive Metric for Few-shot Classification
Learning to generate a task-aware base learner proves a promising direction to deal with few-shot learning (FSL) problem. Existing methods mainly focus on generating an embedding model utilized with a fixed metric (e.g., cosine distance) for nearest neighbour classification or directly generating a...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2022
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |