A task-agnostic Turing Test Network prunes zero-shot pseudo-labels across vision tasks, yielding F1 gains and enabling category recovery on transfer-vulnerable classes.
In: European Conference on Computer Vision (ECCV) (2014) 8
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The Label Imitation Game: Turing Test Network for Zero-Shot Pseudo-Label Pruning
A task-agnostic Turing Test Network prunes zero-shot pseudo-labels across vision tasks, yielding F1 gains and enabling category recovery on transfer-vulnerable classes.