From Zero-shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis

CVPR 2017 Yang LongLi LiuLing ShaoFumin ShenGuiguang DingJungong Han

Robust object recognition systems usually rely on powerful feature extraction mechanisms from a large number of real images. However, in many realistic applications, collecting sufficient images for ever-growing new classes is unattainable... (read more)

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