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Hierarchical Document Parsing via Large Margin Feature Matching and Heuristics

arXiv 2502.07442 ↗First posted 11 Feb 2025cs.CL cs.CVcited by 0

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Abstract (arXiv)

We present our solution to the AAAI-25 VRD-IU challenge, achieving first place in the competition. Our approach integrates large margin loss for improved feature discrimination and employs heuristic rules to refine hierarchical relationships. By combining a deep learning-based matching strategy with greedy algorithms, we achieve a significant boost in accuracy while maintaining computational efficiency. Our method attains an accuracy of 0.98904 on the private leaderboard, demonstrating its effectiveness in document structure parsing. Source codes are publicly available at https://github.com/ffyyytt/VRUID-AAAI-DAKiet

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 12 of its 13 references that are in the map. First posted on arXiv 11 Feb 2025.

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References · 12

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  2. 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,874
  3. 2021Swin Transformer V2: Scaling Up Capacity and Resolutioncited by 1,215
  4. 2019LayoutLM: Pre-training of Text and Layout for Document Image Understandingcited by 549
  5. 2017NormFace: L2 Hypersphere Embedding for Face Verificationcited by 237
  6. 2020DocBank: A Benchmark Dataset for Document Layout Analysiscited by 152
  7. 2020DocStruct: A Multimodal Method to Extract Hierarchy Structure in Document for General Form Understandingcited by 31
  8. 2021Entity Relation Extraction as Dependency Parsing in Visually Rich Documentscited by 23
  9. 2024Deep Learning based Visually Rich Document Content Understanding: A Surveycited by 21
  10. 2023A Question-Answering Approach to Key Value Pair Extraction from Form-like Document Imagescited by 9
  11. 2025Scalable Framework for Classifying AI-Generated Content Across Modalitiescited by 3
  12. 2025Addressing Out-of-Label Hazard Detection in Dashcam Videos: Insights from the COOOL Challengecited by 2

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