Learning to Discover Knowledge: A Weakly-Supervised Partial Domain Adaptation Approach

Domain adaptation has shown appealing performance by leveraging knowledge from a source domain with rich annotations. However, for a specific target task, it is cumbersome to collect related and high-quality source domains. In real-world scenarios, large-scale datasets corrupted with noisy labels ar...

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Veröffentlicht in:	arXiv.org 2024-06
Hauptverfasser:	Mengcheng Lan, Meng, Min, Yu, Jun, Wu, Jigang
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptation Annotations Classifiers Datasets Knowledge Labels Learning
Online-Zugang:	Volltext
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