Weighted Gaussian Loss based Hamming Hashing
Author:
Affiliation:
1. Beijing Institute of Technology, Beijing, China
2. Huazhong University of Science and Technology, Wuhan, China
Funder
National Key R&D Plan
Natural Science Fund of Beijing
National Natural Science Foundation of China
the funds of Beijing Advanced Innovation Center for Language Resources
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3474085.3475498
Reference38 articles.
1. Iterative quantization: A procrustean approach to learning binary codes for large-scale image retrieval;Gong Yunchao;IEEE Transactions on Pattern Analysis and Machine Intelligence,2012
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