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Multilingual OCR and information extraction from receipts remains challenging, particularly for complex scripts like Arabic.
Learning deep features for discriminative localization. In Proceedings of the IEEE conference on computer vision and pattern recognition . 2921–2929
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Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-supervised Object and Action Localization. In International Conference on Computer Vision (ICCV)
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Attention-based dropout layer for weakly supervised object localization. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 2219–2228
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Icdar2019 competition on scanned receipt ocr and information extraction. In 2019 International Conference on Document Analysis and Recognition (ICDAR) . IEEE, 1516–1520
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Post-ocr parsing: building simple and robust parser via bio tagging. In Workshop on Document Intelligence at NeurIPS 2019
Wonseok Hwang, Seonghyeon Kim, Minjoon Seo, Jinyeong Yim, Seunghyun Park, Sungrae Park, Junyeop Lee, Bado Lee, and Hwalsuk Lee. 2019 · 2019
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CORD: a consolidated receipt dataset for post-OCR parsing. In Workshop on Document Intelligence at NeurIPS 2019
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Evaluating weakly supervised object localization methods right. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition . 3133–3142
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MC-OCR challenge 2021: End-to-end system to extract key information from vietnamese receipts. In 2021 RIVF International Conference on Computing and Communication Technologies (RIVF) . IEEE, 1–5
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Survey of Post-OCR Processing Approaches
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Weakly supervised object localization and detection: A survey
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Dino: Detr with improved denoising anchor boxes for end-to-end object detection
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Llama 2: Open foundation and fine-tuned chat models
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Zephyr: Direct distillation of lm alignment
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The falcon series of open language models
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Albert Q Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, et al · 2023
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YOLO by Ultralytics
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Adversarial complementary learning for weakly supervised object localization. In IEEE CVPR
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Self-produced Guidance for Weakly-supervised Object Localization. In European Conference on Computer Vision . Springer
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YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Phi-3 technical report: A highly capable language model locally on your phone
Marah Abdin, Jyoti Aneja, Hany Awadalla, Ahmed Awadallah, Ammar Ahmad Awan, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Jianmin Bao, Harkirat Behl, et al · 2024
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Albert Q Jiang, Alexandre Sablayrolles, Antoine Roux, Arthur Mensch, Blanche Savary, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Emma Bou Hanna, Florian Bressand, et al · 2024
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