Redefining prior feature space via finetuning a triplet network for few‐shot learning
Abstract Few‐shot learning is to distinguish novel concepts with few annotated data, which has attracted much attention due to its requirement of limited training data for target classes. Recent few‐shot learning methods usually pretrain a feature extractor with images from the base set to boost the...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-09-01
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| Series: | IET Computer Vision |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/cvi2.12109 |