Evaluating techniques from low-shot learning on traditional imbalanced classification tasks
Abstract Recent advances in machine learning have resulted in techniques that are effective in complex scenarios, such as those with many rare classes or with multimodal data; in particular, low-shot learning (LSL) is a challenging task for which multiple strong approaches have been developed. We hy...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-05-01
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| Series: | Journal of Big Data |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40537-025-01171-0 |
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