Table Transformer(DETR)模型在PubTables1M上进行了训练。这个模型是由Smock等人在 PubTables-1M: Towards Comprehensive Table Extraction From Unstructured Documents 中提出的,并在 this repository 中首次发布。 免责声明:发布Table Transformer的团队没有为这个模型编写模型卡,因此这个模型卡是由Hugging Face团队撰写的...
Additionally, to address the relatively complex structure of table heads and the dense arrangement of rows and cells in long tables, we integrate coverage information into the transformer decoder. Experiments show that our method achieves performance comparable to the state-of-the-art methods with a...
This paper treats table structure recognition (TSR) as an image-to-sequence recognition task and adopts an end-to-end trainable model for complex TSR in the wild. Specifically, the model consists of a CNN-based encoder and two Transformer-based decoding branches, which can simultaneously predict...