Progressive Local Filter Pruning for Image Retrieval Acceleration

Most image retrieval works aim at learning discriminative visual features, while little attention is paid to the retrieval efficiency. The speed of feature extraction is key to the real-world system. Therefore, in this paper, we focus on network pruning for image retrieval acceleration. Different fr...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on multimedia 2023-01, Vol.25, p.1-11
Hauptverfasser:	Wang, Xiaodong, Zheng, Zhedong, He, Yang, Yan, Fei, Zeng, Zhiqiang, Yang, Yi
Format:	Artikel
Sprache:	eng
Schlagworte:	Acceleration Classification Computational modeling Convolutional neural networks Datasets Deep Learning Feature extraction Geometry Image filters Image retrieval Information filters Local Geometry Network Pruning Person Re-identification Pruning Retrieval Training Visual discrimination
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!