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  • Rumsey (General)
  • IGN (French)
  • Evaluation
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    • method: dino_mvit2024-04-29

    Authors: Rajat Kumar Singh, Himani Shrotriya, Shivshankar Reddy, Himanshu Bhatt

    Affiliation: American Express

    Email: rajatks@outlook.com

    Description: We trained MViTv2 for Rumsey Map and Mask DINO for IGN map. To further improve the performance, we crop the image into 4 equal parts, we predict on original image and all 4 cropped images and combine the output.

    @misc{li2022mask, title={Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation}, author={Feng Li and Hao Zhang and Huaizhe xu and Shilong Liu and Lei Zhang and Lionel M. Ni and Heung-Yeung Shum}, year={2022}, eprint={2206.02777}, archivePrefix={arXiv}, primaryClass={cs.CV} }

    @inproceedings{li2021improved, title={MViTv2: Improved multiscale vision transformers for classification and detection}, author={Li, Yanghao and Wu, Chao-Yuan and Fan, Haoqi and Mangalam, Karttikeya and Xiong, Bo and Malik, Jitendra and Feichtenhofer, Christoph}, booktitle={CVPR}, year={2022} }

    method: dino_map2024-04-29

    Authors: Rajat Kumar Singh, Himani Shrotriya, Shivshankar Reddy, Himanshu Bhatt

    Affiliation: American Express

    Email: rajatks@outlook.com

    Description: We trained Mask DINO for both the maps. To further improve the performance, we crop the image into 4 parts with some overlap, we predict on original image and all 4 cropped images and combine the output.

    @misc{li2022mask, title={Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation}, author={Feng Li and Hao Zhang and Huaizhe xu and Shilong Liu and Lei Zhang and Lionel M. Ni and Heung-Yeung Shum}, year={2022}, eprint={2206.02777}, archivePrefix={arXiv}, primaryClass={cs.CV} }

    method: DS-LP2024-03-26

    Authors: hsy

    Affiliation: BUPT

    Description: Four tasks unified submission
    DeepSolo, Multi-Polygon NMS (word detection and recognition) -> LayoutPointer[LayoutLMv3] (word linking)

    Ranking Table

    Description Paper Source Code
    DateMethodQualityF-scoreTightnessPrecisionRecall
    2024-04-29dino_mvit64.75%89.73%72.16%88.68%90.81%
    2024-04-29dino_map64.75%89.73%72.16%88.68%90.81%
    2024-03-26DS-LP44.08%67.78%65.03%64.85%71.00%
    2024-05-06MapText Detection Strong Pipeline 42.33%61.10%69.29%82.51%48.51%
    2024-04-29MapDet35.73%54.70%65.33%70.13%44.84%
    2024-03-26Baseline TESTR Checkpoint20.56%29.19%70.46%86.38%17.56%

    Ranking Graphic

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