Progressive Critical Region Transfer for Cross-Domain Visual Object Detection

Well-trained visual object detectors are generally confronted with a severe performance decline when deployed in a novel driving scenario due to the impact of domain shift. Despite excellent improvements in unsupervised domain adaptive object detection achieved by adversarial training, those approac...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on intelligent transportation systems 2024-08, Vol.25 (8), p.9427-9441
Hauptverfasser:	Wang, Xiaowei, Jiang, Peiwen, Li, Yang, Hu, Manjiang, Gao, Ming, Cao, Dongpu, Ding, Rongjun
Format:	Artikel
Sprache:	eng
Schlagworte:	Autonomous driving Detectors domain adaptation domain shift Feature extraction Object detection progressive critical region transfer Prototypes Semantics Training Visualization
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!