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Can AI Models Appreciate Document Aesthetics? An Exploration of
  Legibility and Layout Quality in Relation to Prediction Confidence

Can AI Models Appreciate Document Aesthetics? An Exploration of Legibility and Layout Quality in Relation to Prediction Confidence

27 March 2024
Hsiu-Wei Yang
Abhinav Agrawal
Pavlos Fragkogiannis
Shubham Nitin Mulay
ArXivPDFHTML

Papers citing "Can AI Models Appreciate Document Aesthetics? An Exploration of Legibility and Layout Quality in Relation to Prediction Confidence"

4 / 4 papers shown
Title
Pix2Struct: Screenshot Parsing as Pretraining for Visual Language
  Understanding
Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding
Kenton Lee
Mandar Joshi
Iulia Turc
Hexiang Hu
Fangyu Liu
Julian Martin Eisenschlos
Urvashi Khandelwal
Peter Shaw
Ming-Wei Chang
Kristina Toutanova
CLIP
VLM
163
263
0
07 Oct 2022
Probing Classifiers: Promises, Shortcomings, and Advances
Probing Classifiers: Promises, Shortcomings, and Advances
Yonatan Belinkov
226
405
0
24 Feb 2021
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document
  Understanding
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding
Yang Xu
Yiheng Xu
Tengchao Lv
Lei Cui
Furu Wei
...
D. Florêncio
Cha Zhang
Wanxiang Che
Min Zhang
Lidong Zhou
ViT
MLLM
153
498
0
29 Dec 2020
FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents
FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents
Guillaume Jaume
H. K. Ekenel
Jean-Philippe Thiran
134
355
0
27 May 2019
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