Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection

Deep neural networks (DNNs) have enabled astounding progress in several vision-based problems. Despite showing high predictive accuracy, recently, several works have revealed that they tend to provide overconfident predictions and thus are poorly calibrated. The majority of the works addressing the...

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Hauptverfasser:	Munir, Muhammad Akhtar, Khan, Muhammad Haris, Khan, Salman, Khan, Fahad Shahbaz
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition
Online-Zugang:	Volltext bestellen
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