Video Visual Relation Detection via 3D Convolutional Neural Network

Video visual relation detection, which aims to detect the visual relations between objects in the form of relation triplet <subject, predicate, object> ( e.g. , "person-ride-bike", "dog-toward-car", etc. ), is a significant and fundamental task in computer vision. However,...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE access Jg. 10; S. 23748 - 23756
Hauptverfasser:	Qu, Mingcheng, Cui, Jianxun, Su, Tonghua, Deng, Ganlin, Shao, Wenkai
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	3D convolutional neural network Annotations Artificial neural networks Computer vision Convolutional neural networks Datasets Feature extraction Neural networks Object detection Object recognition Task analysis Three-dimensional displays Trajectory Video video visual relation detection Visualization
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!