Selective Zero-Shot Classification with Augmented Attributes

ECCV 2018 Jie SongChengchao ShenJie LeiAn-Xiang ZengKairi OuDacheng TaoMingli Song

In this paper, we introduce a selective zero-shot classification problem: how can the classifier avoid making dubious predictions? Existing attribute-based zero-shot classification methods are shown to work poorly in the selective classification scenario... (read more)

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