4 papers
Min- Sampling: Decoupling Truncation from Temperature Scaling via Relative Logit Dynamics
Yuanhao Ding, Meimingwei Li, Esteban Garces Arias +3
The quality of text generated by large language models depends critically on the decoding sampling strategy. While mainstream methods such as Top-, Top-, and Min- achieve…
Multi-Modal Character Localization and Extraction for Chinese Text Recognition
Qilong Li, Chongsheng Zhang
Scene text recognition (STR) methods have demonstrated their excellent capability in English text images. However, due to the complex inner structures of Chinese and the extensive…
Scribe Verification in Chinese manuscripts using Siamese, Triplet, and Vision Transformer Neural Networks
Dimitrios-Chrysovalantis Liakopoulos, Yanbo Zhang, Chongsheng Zhang +1
The paper examines deep learning models for scribe verification in Chinese manuscripts. That is, to automatically determine whether two manuscript fragments were written by the sam…
Extremely Fine-Grained Visual Classification over Resembling Glyphs in the Wild
Fares Bougourzi, Fadi Dornaika, Chongsheng Zhang
Text recognition in the wild is an important technique for digital maps and urban scene understanding, in which the natural resembling properties between glyphs is one of the major…