All-in-One Multilingual Scene Text Recognition with Script-aware Mixture-of-Experts

arXiv:2609.24058 · cs.CV · Submitted 2026-09-21 · Read on arXiv

cs.CV

Submitted: 2026-09-21

Updated: 2026-09-21

Code: https://github.com/YesianRohn/ScriptMoE

Terminology

• Accuracy — 22× in this paper · explained in 1 episode
• Benchmark — 16× in this paper · explained in 2 episodes
• Ablation — 9× in this paper · explained in 1 episode
• Transformer — 8× in this paper · explained in 2 episodes
• F1 Score — 4× in this paper · explained in 3 episodes
• Low-Resource Languages — 3× in this paper · explained in 4 episodes
• Benchmarking — 2× in this paper · explained in 3 episodes
• Distillation — 2× in this paper · explained in 2 episodes
• Embodied AI — 2× in this paper · explained in 2 episodes
• Mixture-of-Experts (MoE) — 2× in this paper · explained in 7 episodes
• Sparsity — 2× in this paper · explained in 4 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Continual Learning — 1× in this paper · explained in 2 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Edge Deployment — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Mixture of Experts — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Semi-supervised Learning — 1× in this paper · explained in 4 episodes
• Verification — 1× in this paper · explained in 2 episodes
• Vision-Language Models (VLMs) — 1× in this paper · explained in 6 episodes

Sources

• Qwen2.5-VL Technical Report
• Benchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical Study
• PaddleOCR 3.0 Technical Report
• Qianfan-OCR: A Unified End-to-End Model for Document Intelligence
• GLM-OCR Technical Report
• dots.ocr: Multilingual Document Layout Parsing in a Single Vision-Language Model
• KOSMOS-2.5: A Multimodal Literate Model
• HunyuanOCR Technical Report
• Qwen3.5-Omni Technical Report
• InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
• General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model
• DeepSeek-OCR: Contexts Optical Compression
• DeepSeek-OCR 2: Visual Causal Flow
• PP-OCRv6: From 1.5M to 34.5M Parameters, Surpassing Billion-Scale VLMs on OCR Tasks

Related papers

• Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
• AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
• Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
• MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
• TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
• A Survey on Efficient Vision-Language-Action Models