Enhancing deep hashing with graph filters and autoencoder-based embeddings

Deep hashing has emerged as an efficient and robust solution for image retrieval through representation learning. However, convolutional neural network (CNN)-based hashing methods are constrained by their reliance on grid structures, limiting their capacity to model complex or unstructured data rela...

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Autors principals:	Sooin Kim, Kyungtae Kim, Seonghyun Min, Wongyum Kim, Doosung Hwang, Donghoon Kim
Format:	Artigo
Idioma:	Inglês
Publicat:	PeerJ Inc. 2026-03-01
Col·lecció:	PeerJ Computer Science
Matèries:	Deep hashing Transfer learning Autoencoder Graph neural network Graph filter Representation learning
Accés en línia:	https://peerj.com/articles/cs-3644.pdf
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