Abstract: Table structure ... learning-based table structure recognition method that can predict row, column, and cell bounds for table images with a high degree of accuracy. To achieve this goal, a ...

The structure of the TransRender is described in Figure 2. The transformer-based encoder, render-based decoder, and fusion module are the three parts of the proposed network architecture. For each ...

The transformer is a neural network architecture based on the attention mechanism ... The overall multilayer encoder to decoder structure enables the network to complete modeling of sequential data.

This repository contains an implementation of a Transformer-based text generation model built ... Stabilizes training and improves gradient flow. Decoder Layers Uses previous outputs and encoder ...

An autoencoder is a type of neural network used for unsupervised learning that learns to compress (encode) data into a compact representation and then reconstruct (decode) it back to ... in an image ...