Decoupling Visual-Semantic Features Learning with Dual Masked Autoencoder for Self-Supervised Scene Text Recognition

Zhi Qiao; Zhilong Ji; Ye Yuan; Jinfeng Bai

doi:10.1007/978-3-031-41679-8_15

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Decoupling Visual-Semantic Features Learning with Dual Masked Autoencoder for Self-Supervised Scene Text Recognition

Zhi Qiao Zhilong Ji Ye Yuan Jinfeng Bai

Year: 2023 Lecture notes in computer science Pages: 261-279 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-41679-8_15

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Keywords:

Computer science Artificial intelligence Feature learning Pattern recognition (psychology) Autoencoder Feature (linguistics) Decoupling (probability) Deep learning Machine learning

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Handwritten Text Recognition Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Decoupling Visual-Semantic Features Learning with Dual Masked Autoencoder for Self-Supervised Scene Text Recognition

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