DVSA improves zero-shot learning under ambiguous labels by mutually calibrating visual features and attributes with attention and dynamic disambiguation.
Zs-vat: Learning unbiased attribute knowledge for zero-shot recognition through visual attribute transformer,
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Dynamic Visual-semantic Alignment for Zero-shot Learning with Ambiguous Labels
DVSA improves zero-shot learning under ambiguous labels by mutually calibrating visual features and attributes with attention and dynamic disambiguation.