Adaptive Focal Loss for Keypoint-Based Deep Learning Detectors Addressing Class Imbalance

Keypoint-based deep learning detectors have proven highly effective in object detection tasks by predicting specific keypoints to determine object classification and location. Examples include CornerNet, CenterNet, ExtremeNet, RetinaNet, FCOS, and ObjectBox. Despite their strengths, these methods ar...

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Prif Awduron:	Zhihao Su, Afzan Adam, Mohammad Faidzul Nasrudin
Fformat:	Artigo
Iaith:	Inglês
Cyhoeddwyd:	IEEE 2025-01-01
Cyfres:	IEEE Access
Pynciau:	Deep learning algorithm object detection keypoint-based deep learning detector class imbalance sampling method
Mynediad Ar-lein:	https://ieeexplore.ieee.org/document/10872927/
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