Semi-Supervised Object Detection with Multi-Scale Regularization and Bounding Box Re-Prediction

Semi-supervised object detection has become a hot topic in recent years, but there are still some challenges regarding false detection, duplicate detection, and inaccurate localization. This paper presents a semi-supervised object detection method with multi-scale regularization and bounding box re-...

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Veröffentlicht in:	Electronics (Basel) 2024-01, Vol.13 (1), p.221
Hauptverfasser:	Shao, Yeqin, Lv, Chang, Zhang, Ruowei, Yin, He, Che, Meiqin, Yang, Guoqing, Jiang, Quan
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Boxes Classification Datasets Deep learning Image processing Labels Localization Machine learning Object recognition Object recognition (Computers) Pattern recognition Regularization Regularization methods Strategy
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