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Bank of quantization models: A data-specific approach to learning binary codes for large-scale retrieval applications
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6

August 2024

2024/2025

A+
The continuing growth of online image and video collections has motivated many advances in algorithms for largescale recognition and retrieval. The goal of large-scale retrieval algorithms is to support efficient and accurate querying into the collection under memory and time constraints. Methods for large-scale retrieval may be divided into two main groups: hashing methods [3, 4, 6, 9, 12, 13, 15, 20, 21, 22, 23] and lookup-based methods [2, 7, 8, 10, 16]. Hashing methods learn a mappin...
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