Calibration of the Open-Vocabulary Model YOLO-World by Using Temperature Scaling
In many areas of the real world, such as robotics and autonomous driving, deep learning models are an indispensable tool for detecting objects in the environment. In recent years, supervised models such as YOLO or Faster R-CNN have been increasingly used for this purpose. One disadvantage of these m...
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Main Authors: | Max Andreas Ingrisch, Subashkumar Rajanayagam, Ingo Chmielewski, Stefan Twieg |
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Format: | Article |
Language: | English |
Published: |
Anhalt University of Applied Sciences
2025-04-01
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Series: | Proceedings of the International Conference on Applied Innovations in IT |
Subjects: | |
Online Access: | https://icaiit.org/paper.php?paper=13th_ICAIIT_1/3_1 |
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