Abstract: Highlights•The biases in feature distributions are interclass and intraclass distribution biases.•Aligning support data to query data reduces interclass distribution bias.•Distribution canonicalization reduces intraclass distribution bias.•Comparison results show that our method outperforms the state-of-the-art methods in all experimental settings.
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