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20232026
most citedOCRBench: On the Hidden Mystery of OCR in Large Multimodal Models

125 citations · 137 across the 14 of their papers we have counts for

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Showing 2024Show all

11 papers · 1 filter

cs.CV2024

CC-OCR: A Comprehensive and Challenging OCR Benchmark for Evaluating Large Multimodal Models in Literacy

Zhibo Yang, Jun Tang, Zhaohai Li +9

Large Multimodal Models (LMMs) have demonstrated impressive performance in recognizing document images with natural language instructions. However, it remains unclear to what exten…

cs.CV2024★ 1 cited

Liquid: Language Models are Scalable and Unified Multi-modal Generators

Junfeng Wu, Yi Jiang, Chuofan Ma +5

We present Liquid, an auto-regressive generation paradigm that seamlessly integrates visual comprehension and generation by tokenizing images into discrete codes and learning these…

cs.CV2024

Mini-Monkey: Alleviating the Semantic Sawtooth Effect for Lightweight MLLMs via Complementary Image Pyramid

Mingxin Huang, Yuliang Liu, Dingkang Liang +2

Recently, scaling images to high resolution has received much attention in multimodal large language models (MLLMs). Most existing practices adopt a sliding-window-style cropping s…

cs.CV2024

Puzzle Pieces Picker: Deciphering Ancient Chinese Characters with Radical Reconstruction

Pengjie Wang, Kaile Zhang, Xinyu Wang +5

Oracle Bone Inscriptions is one of the oldest existing forms of writing in the world. However, due to the great antiquity of the era, a large number of Oracle Bone Inscriptions (OB…

cs.CV2024

Deciphering Oracle Bone Language with Diffusion Models

Haisu Guan, Huanxin Yang, Xinyu Wang +5

Originating from China's Shang Dynasty approximately 3,000 years ago, the Oracle Bone Script (OBS) is a cornerstone in the annals of linguistic history, predating many established…

cs.CV2024

Bridging the Gap Between End-to-End and Two-Step Text Spotting

Mingxin Huang, Hongliang Li, Yuliang Liu +2

Modularity plays a crucial role in the development and maintenance of complex systems. While end-to-end text spotting efficiently mitigates the issues of error accumulation and sub…

cs.CV2024★ 1 cited

OmniParser: A Unified Framework for Text Spotting, Key Information Extraction and Table Recognition

Jianqiang Wan, Sibo Song, Wenwen Yu +6

Recently, visually-situated text parsing (VsTP) has experienced notable advancements, driven by the increasing demand for automated document understanding and the emergence of Gene…

cs.AI2024★ 4 cited

An open dataset for the evolution of oracle bone characters: EVOBC

Haisu Guan, Jinpeng Wan, Yuliang Liu +6

The earliest extant Chinese characters originate from oracle bone inscriptions, which are closely related to other East Asian languages. These inscriptions hold immense value for a…

cs.CV2024

Toward Real Text Manipulation Detection: New Dataset and New Solution

Dongliang Luo, Yuliang Liu, Rui Yang +4

With the surge in realistic text tampering, detecting fraudulent text in images has gained prominence for maintaining information security. However, the high costs associated with…

cs.CV2024★ 1 cited

An open dataset for oracle bone script recognition and decipherment

Pengjie Wang, Kaile Zhang, Xinyu Wang +8

Oracle bone script, one of the earliest known forms of ancient Chinese writing, presents invaluable research materials for scholars studying the humanities and geography of the Sha…

cs.CV2024★ 3 cited

SwinTextSpotter v2: Towards Better Synergy for Scene Text Spotting

Mingxin Huang, Dezhi Peng, Hongliang Li +6

End-to-end scene text spotting, which aims to read the text in natural images, has garnered significant attention in recent years. However, recent state-of-the-art methods usually…