Visual Reranking through Weakly Supervised Multi-graph Learning

ICCV, no. 1 (2013): 2600-2607

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Visual reranking has been widely deployed to refine the quality of conventional content-based image retrieval engines. The current trend lies in employing a crowd of retrieved results stemming from multiple feature modalities to boost the overall performance of visual reranking. However, a major challenge pertaining to current reranking m...更多

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