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Found 7 papers, 6 papers with code
Deep learning for table detection and structure recognition: A survey
The goals of this survey are to provide a profound comprehension of the major developments in the field of Table Detection, offer insight into the different methodologies, and provide a systematic taxonomy of the different approaches.
Enhancing Core Image Classification Using Generative Adversarial Networks (GANs)
In the thrilling world of oil exploration, drill core samples are key to unlocking geological information critical to finding lucrative oil deposits.
KOHTD: Kazakh Offline Handwritten Text Dataset
In this regard, there is a need to implement Handwritten Text Recognition (HTR) which is an automatic way to decrypt records using a computer.
Ranked #1 on
Handwriting Recognition
on KOHTD
TNCR: Table Net Detection and Classification Dataset
Cascade Mask R-CNN with ResNeXt-101-64x4d Backbone Network achieves the highest performance compared to other methods with a precision of 79. 7%, recall of 89. 8%, and f1 score of 84. 4% on the TNCR dataset.
Classification of Handwritten Names of Cities and Handwritten Text Recognition using Various Deep Learning Models
This article discusses the problem of handwriting recognition in Kazakh and Russian languages.
Attention-based Fully Gated CNN-BGRU for Russian Handwritten Text
Also, we propose fully gated layers by taking the advantage of multiple the output feature from Tahn and input feature, this proposed work achieves better results and We experimented with our model on the Handwritten Kazakh & Russian Database (HKR).
