Weakly-supervised Semantic Guided Hashing for Social Image Retrieval

Volume: 128, Issue: 8, Pages: 2265 - 2278
Published: Sep 1, 2020
Abstract
Hashing has been widely investigated for large-scale image retrieval due to its search effectiveness and computation efficiency. In this work, we propose a novel Semantic Guided Hashing method coupled with binary matrix factorization to perform more effective nearest neighbor image search by simultaneously exploring the weakly-supervised rich community-contributed information and the underlying data structures. To uncover the underlying semantic...
Paper Details
Title
Weakly-supervised Semantic Guided Hashing for Social Image Retrieval
Published Date
Sep 1, 2020
Volume
128
Issue
8
Pages
2265 - 2278
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