Method: GRAM C-Former - Task 4 - MP-DocVQA - Document Visual Question Answering

method: GRAM C-Former2024-01-16

Authors: Tsachi Blau, Sharon Fogel, Roi Ronen, Alona Golts, Roy Ganz, Shahar Tsiper, Elad Ben Avraham, Aviad Aberdam, Ron Litman Affiliation: AWS AI Labs and Technion Israel

Affiliation: AWS AI Labs and Technion Israel

Description: GRAM model with C-Former based on Docformerv2 trained on Multi-Page DocVQA dataset.

Blau, Tsachi, Sharon Fogel, Roi Ronen, Alona Golts, Roy Ganz, Elad Ben Avraham, Aviad Aberdam, Shahar Tsiper, and Ron Litman. "GRAM: Global Reasoning for Multi-Page VQA." arXiv preprint arXiv:2401.03411 (2024).