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Learning deep representations of fine-grained visual descriptions
時間 2021-01-02
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Abstract 最先進的zero-shot視覺識別將學習視爲圖像和補充信息的聯合問題。其中對視覺特徵來說最有效的補充信息是屬性-描述類與類之間的共享特徵的手動編碼向量。儘管算法表現很好,但是屬性任然是有侷限的: 更細粒度的識別需要相當多的屬性 屬性不提供自然語言界面(attributes do not provide a natural language interface)(不能顯式的表示?)
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