2022 Pix2StructScreenshotParsingAsPr
- (Lee, Joshi et al., 2022) ⇒ Kenton Lee, Mandar Joshi, Iulia Turc, Hexiang Hu, Fangyu Liu, Julian Eisenschlos, Urvashi Khandelwal, Peter Shaw, Ming-Wei Chang, and Kristina Toutanova. (2022). “Pix2Struct: Screenshot Parsing As Pretraining for Visual Language Understanding.” In: arXiv preprint arXiv:2210.03347. doi:10.48550/arXiv.2210.03347
Subject Headings: Pix2Struct.
Notes
Cited By
Quotes
Abstract
Visually-situated language is ubiquitous -- sources range from textbooks with diagrams to web pages with images and tables, to mobile apps with buttons and forms. Perhaps due to this diversity, previous work has typically relied on domain-specific recipes with limited sharing of the underlying data, model architectures, and objectives. We present Pix2Struct, a pretrained image-to-text model for purely visual language understanding, which can be finetuned on tasks containing visually-situated language. Pix2Struct is pretrained by learning to parse masked screenshots of web pages into simplified HTML. The web, with its richness of visual elements cleanly reflected in the HTML structure, provides a large source of pretraining data well suited to the diversity of downstream tasks. Intuitively, this objective subsumes common pretraining signals such as OCR, language modeling, image captioning. In addition to the novel pretraining strategy, we introduce a variable-resolution input representation and a more flexible integration of language and vision inputs, where language prompts such as questions are rendered directly on top of the input image. For the first time, we show that a single pretrained model can achieve state-of-the-art results in six out of nine tasks across four domains: documents, illustrations, user interfaces, and natural images.
References
;
| Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2022 Pix2StructScreenshotParsingAsPr | Ming-Wei Chang Urvashi Khandelwal Kristina Toutanova Kenton Lee Mandar Joshi Peter Shaw Iulia Turc Hexiang Hu Fangyu Liu Julian Eisenschlos | Pix2Struct: Screenshot Parsing As Pretraining for Visual Language Understanding | 10.48550/arXiv.2210.03347 | 2022 |