3260 papers • 126 benchmarks • 313 datasets
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These leaderboards are used to track progress in few-shot-image-classification
No benchmarks available.
Use these libraries to find few-shot-image-classification models and implementations
This paper proposes to tackle the challenging few-shot learning (FSL) problem by learning global class representations using both base and novel class training samples, and an effective sample synthesis strategy is developed to avoid overfitting.
Adding a benchmark result helps the community track progress.