Self-Guided Information

Cycle optimization metric learning for few-shot classification
Metric learning methods are widely used in few-shot learning due to their simplicity and effectiveness. Most existing methods directly …
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Self-guided information for few-shot classification
Few-shot classification aims to identify novel categories using only a few labeled samples. Generally, the metric-based few-shot …
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