ICAL: Implicit Character-Aided Learning for Enhanced Handwritten Mathematical Expression Recognition

1 code implementation • 15 May 2024 • Jianhua Zhu, Liangcai Gao, Wenqi Zhao

Significant progress has been made in the field of handwritten mathematical expression recognition, while existing encoder-decoder methods are usually difficult to model global information in \LaTeX.

Robust image segmentation model based on binary level set

no code implementations • 20 Mar 2024 • Wenqi Zhao

Additionally, to enhance the model's robustness to noisy images, we incorporate the binary level set model into the proposed model.

Image Segmentation Semantic Segmentation

CoMER: Modeling Coverage for Transformer-based Handwritten Mathematical Expression Recognition

1 code implementation • 10 Jul 2022 • Wenqi Zhao, Liangcai Gao

In this paper, we propose CoMER, a model that adopts the coverage information in the transformer decoder.

Decoder

Handwritten Mathematical Expression Recognition with Bidirectionally Trained Transformer

1 code implementation • 6 May 2021 • Wenqi Zhao, Liangcai Gao, Zuoyu Yan, Shuai Peng, Lin Du, Ziyin Zhang

Encoder-decoder models have made great progress on handwritten mathematical expression recognition recently.

Data Augmentation Decoder +1