Mitigating Label Noise using Prompt-Based Hyperbolic Meta-Learning in Open-Set Domain Generalization

Open-Set Domain Generalization (OSDG) is a challenging task requiring models to accurately predict familiar categories while minimizing confidence for unknown categories to effectively reject them in unseen domains. While the OSDG field has seen considerable advancements, the impact of label noise--...

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Hauptverfasser:	Peng, Kunyu, Wen, Di, Saquib, Sarfraz M, Chen, Yufan, Zheng, Junwei, Schneider, David, Yang, Kailun, Wu, Jiamin, Roitberg, Alina, Stiefelhagen, Rainer
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning
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