Generative Enhancement-based Similarity Prediction Hashing for Image Retrieval

Hashing is frequently used in approximate nearest neighbor search due to its storage and search efficiency. On account of the bottleneck of traditional learning to hash methods, deep-based learning to hash has gained quite a popularity among researchers recently. While such methods show a promising...

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Veröffentlicht in:	Proceedings - International Conference on Parallel and Distributed Systems S. 1437 - 1444
Hauptverfasser:	Cao, Yuan, Meng, Fanlei, Wu, Xiangyu, Wang, Zijie
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 17.12.2023
Schlagworte:	Benchmark testing Binary codes generative model hashing Image retrieval Scalability Semantics Training Training data unsupervised learning
ISSN:	2690-5965
Online-Zugang:	Volltext
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