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Query Adaptive Late Fusion for Image Search and Person Re-identification

This paper proposes a simple yet effective late fusion method at score level. Our motivation is that the sorted score curve exhibits an “L” shape for a good feature, but descends gradually for a bad one. By approximating score curve’s tail with a reference collected on irrelevant data, the effectiveness of a feature can be estimated as negatively related to the area under the normalized score curve.

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