Do-GOOD: Towards Distribution Shift Evaluation for Pre-Trained Visual Document Understanding Models

5 June 2023

Papers citing "Do-GOOD: Towards Distribution Shift Evaluation for Pre-Trained Visual Document Understanding Models"

7 / 7 papers shown

Title
Multimodal Large Language Models for Text-rich Image Understanding: A Comprehensive Review Pei Fu Tongkun Guan Zining Wang Zhentao Guo Chen Duan ... Boming Chen Jiayao Ma Qianyi Jiang Kai Zhou Junfeng Luo VLM 71 0 0 23 Feb 2025
DistilDoc: Knowledge Distillation for Visually-Rich Document Applications Jordy Van Landeghem Subhajit Maity Ayan Banerjee Matthew Blaschko Marie-Francine Moens Josep Lladós Sanket Biswas 65 2 0 12 Jun 2024
A Fine-Grained Analysis on Distribution Shift Olivia Wiles Sven Gowal Florian Stimberg Sylvestre-Alvise Rebuffi Ira Ktena Krishnamurthy Dvijotham A. Cemgil OOD 269 209 0 21 Oct 2021
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 161 506 0 29 Dec 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 222 912 0 02 Mar 2020
FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents Guillaume Jaume H. K. Ekenel Jean-Philippe Thiran 143 360 0 27 May 2019
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 191 9,385 0 28 May 2015