Open-Set Text Recognition Concepts, Framework, and Algorithms /

In real-world applications, new data, patterns, and categories that were not covered by the training data can frequently emerge, necessitating the capability to detect and adapt to novel characters incrementally. Researchers refer to these challenges as the Open-Set Text Recognition (OSTR) task, whi...

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Xehetasun bibliografikoak
Egile Nagusiak:	Yin, Xu-Cheng (Egilea), Yang, Chun (Egilea), Liu, Chang (Egilea)
Erakunde egilea:	SpringerLink (Online service)
Formatua:	Baliabide elektronikoa eBook
Hizkuntza:	ingelesa
Argitaratua:	Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Edizioa:	1st ed. 2024.
Saila:	SpringerBriefs in Computer Science,
Gaiak:	Image processing > Digital techniques. Computer vision. Machine learning. Computer Imaging, Vision, Pattern Recognition and Graphics. Machine Learning. Computer Vision.
Sarrera elektronikoa:	https://doi.org/10.1007/978-981-97-0361-6
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!

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https://doi.org/10.1007/978-981-97-0361-6

Open-Set Text Recognition Concepts, Framework, and Algorithms /

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