Equalized Focal Loss for Dense Long-Tailed Object Detection

Despite the recent success of long-tailed object detection, almost all long-tailed object detectors are developed based on the two-stage paradigm. In practice, one-stage detectors are more prevalent in the industry because they have a simple and fast pipeline that is easy to deploy. However, in the...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) S. 6980 - 6989
Hauptverfasser:	Li, Bo, Yao, Yongqiang, Tan, Jingru, Zhang, Gang, Yu, Fengwei, Lu, Jianwei, Luo, Ye
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2022
Schlagworte:	categorization Computer vision Deep learning Detectors Industries Object detection Pipelines retrieval Training Transfer/low-shot/long-tail learning; Deep learning architectures and techniques; Recognition: detection
ISSN:	1063-6919
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!