Abstract: Highlights•We establish an uncertainty-adaptive framework via exploring the bias between two kinds of sample sets.•We custom two modules namely cross-space attention consistency learning module and soft-label learning module.•The experimental results on public datasets demonstrate the effectiveness of the proposed method.
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