Log In Sign Up

DocFormer: End-to-End Transformer for Document Understanding

by   Srikar Appalaraju, et al.

We present DocFormer – a multi-modal transformer based architecture for the task of Visual Document Understanding (VDU). VDU is a challenging problem which aims to understand documents in their varied formats (forms, receipts etc.) and layouts. In addition, DocFormer is pre-trained in an unsupervised fashion using carefully designed tasks which encourage multi-modal interaction. DocFormer uses text, vision and spatial features and combines them using a novel multi-modal self-attention layer. DocFormer also shares learned spatial embeddings across modalities which makes it easy for the model to correlate text to visual tokens and vice versa. DocFormer is evaluated on 4 different datasets each with strong baselines. DocFormer achieves state-of-the-art results on all of them, sometimes beating models 4x its size (in no. of parameters).


page 8

page 16

page 17

page 18

page 19

page 20

page 21


MATrIX – Modality-Aware Transformer for Information eXtraction

We present MATrIX - a Modality-Aware Transformer for Information eXtract...

Multi-Modal Learning for AU Detection Based on Multi-Head Fused Transformers

Multi-modal learning has been intensified in recent years, especially fo...

Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model

Inspired by biological evolution, we explain the rationality of Vision T...

Dyadformer: A Multi-modal Transformer for Long-Range Modeling of Dyadic Interactions

Personality computing has become an emerging topic in computer vision, d...

Going Full-TILT Boogie on Document Understanding with Text-Image-Layout Transformer

We address the challenging problem of Natural Language Comprehension bey...

Masked Vision-Language Transformer in Fashion

We present a masked vision-language transformer (MVLT) for fashion-speci...

Transformer Reasoning Network for Image-Text Matching and Retrieval

Image-text matching is an interesting and fascinating task in modern AI ...