Cutting the Error by Half: Investigation of Very Deep CNN and Advanced Training Strategies for Document Image Classification

Author:

Afzal Muhammad Zeshan,Kolsch Andreas,Ahmed Sheraz,Liwicki Marcus

Publisher

IEEE

Cited by 48 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Visually-Rich Document Understanding: Concepts, Taxonomy and Challenges;2023 10th International Conference on Wireless Networks and Mobile Communications (WINCOM);2023-10-26

2. DWT-CompCNN: deep image classification network for high throughput JPEG 2000 compressed documents;Pattern Analysis and Applications;2023-08-02

3. Automatic classification of company’s document stream: Comparison of two solutions;Pattern Recognition Letters;2023-08

4. VLCDoC: Vision-Language contrastive pre-training model for cross-Modal document classification;Pattern Recognition;2023-07

5. Analyzing the potential of active learning for document image classification;International Journal on Document Analysis and Recognition (IJDAR);2023-04-25

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