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标题:Visual Reranking through Weakly Supervised Multi-graph Learning
时间:2019-02-11 21:45:04
DOI:10.1109/ICCV.2013.323
作者:Cheng Deng;Rongrong Ji;Wei Liu;Dacheng Tao;Xinbo Gao
出版源: IEEE International Conference on Computer Vision ,2014
摘要:This paper proposes a novel image reranking approach by introducing a Co-Regularized Multi-Graph Learning (Co-RMGL) framework, in which the intra-graph and inter-graph constraints are simultaneously imposed to encode affinities in a single graph and consistency across different graphs. Moreover, weakly supervised learning driven by image attributes is performed to denoise ...
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