288 citations · 604 across the 4 of their papers we have counts for
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cs.CV2023★ 1 cited
DUBLIN -- Document Understanding By Language-Image Network
Kriti Aggarwal, Aditi Khandelwal, Kumar Tanmay +7
Visual document understanding is a complex task that involves analyzing both the text and the visual elements in document images. Existing models often rely on manual feature engin…
cs.CV2022★ 151 cited
Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks
Wenhui Wang, Hangbo Bao, Li Dong +8
A big convergence of language, vision, and multimodal pretraining is emerging. In this work, we introduce a general-purpose multimodal foundation model BEiT-3, which achieves state…
cs.CV2021★ 288 cited
VLMo: Unified Vision-Language Pre-Training with Mixture-of-Modality-Experts
Hangbo Bao, Wenhui Wang, Li Dong +5
We present a unified Vision-Language pretrained Model (VLMo) that jointly learns a dual encoder and a fusion encoder with a modular Transformer network. Specifically, we introduce…