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...

Deskribapen osoa

Xehetasun bibliografikoak

Egile Nagusiak:	Sooin Kim, Kyungtae Kim, Seonghyun Min, Wongyum Kim, Doosung Hwang, Donghoon Kim
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	PeerJ Inc. 2026-03-01
Saila:	PeerJ Computer Science
Gaiak:	Deep hashing Transfer learning Autoencoder Graph neural network Graph filter Representation learning
Sarrera elektronikoa:	https://peerj.com/articles/cs-3644.pdf
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!