DVSA improves zero-shot learning under ambiguous labels by mutually calibrating visual features and attributes with attention and dynamic disambiguation.
Visual feature disentanglement for zero-shot learning,
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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.