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Recent advances in attribute-based methods provide the zero-shot learning problem with practical solutions. In attribute-based methods, visual attributes are introduced to fill the gap between low-level image features and high-level semantic information. This paper proposes a novel bimodal attribute prediction model called BAP, which can better predict
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