Towards Effective Deep Embedding for Zero-Shot Learning

IEEE Transactions on Circuits and Systems for Video Technology, pp. 1-1, 2020.

Cited by: 3|Views161

Abstract:

Zero-shot learning (ZSL) can be formulated as a cross-domain matching problem: after being projected into a joint embedding space, a visual sample will match against all candidate class-level semantic descriptions and be assigned to the nearest class. In this process, the embedding space underpins the success of such matching and is cru...More

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