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  3. ICDAR 2025 Competition on End-to-End Document Image Machine
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ICDAR 2025 Competition on End-to-End Document Image Machine Translation Towards Complex Layouts

Fresh1d ago
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0.0/10

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Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 0

Proof: pass

Distribution: unknown

Source paper: ICDAR 2025 Competition on End-to-End Document Image Machine Translation Towards Complex Layouts

PDF: https://arxiv.org/pdf/2603.09392v1

Repository: https://github.com/fxsjy/jieba

First buyer signal: unknown

Distribution channel: unknown

Last proof check: 2026-03-19T18:48:05.835633+00:00

Starting…

Dimensions overall score 4.0

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34,834
Health
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Last commit
2/15/2020
Forks
6708
Open repository

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Prior Work
IMTBench: A Multi-Scenario Cross-Modal Collaborative Evaluation Benchmark for In-Image Machine Translation
Score 4.0stable
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MMTIT-Bench: A Multilingual and Multi-Scenario Benchmark with Cognition-Perception-Reasoning Guided Text-Image Machine Translation
Score 7.0up
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Multimodal OCR: Parse Anything from Documents
Score 8.0up
Higher Viability
GLM-OCR Technical Report
Score 7.0up
Higher Viability
MDPBench: A Benchmark for Multilingual Document Parsing in Real-World Scenarios
Score 7.0up
Higher Viability
Designing Production-Scale OCR for India: Multilingual and Domain-Specific Systems
Score 8.0up
Higher Viability
Efficient Domain Adaptation for Text Line Recognition via Decoupled Language Models
Score 7.0up
Higher Viability
PP-OCRv5: A Specialized 5M-Parameter Model Rivaling Billion-Parameter Vision-Language Models on OCR Tasks
Score 7.0up

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