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Feb, 2017
HashNet: 基于连续方法的深度哈希学习
HashNet: Deep Learning to Hash by Continuation
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Zhangjie Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu
TL;DR
HashNet是一种基于连续化方法具有收敛保证的新型深度学习哈希结构,它从不平衡的相似性数据中学习准确的二进制哈希码,在标准测试中可产生最先进的多媒体检索性能。
Abstract
Learning to hash has been widely applied to approximate nearest neighbor search for large-scale
multimedia retrieval
, due to its computation efficiency and retrieval quality.
deep learning to hash
, which improves
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