Adapting IWPOD-Net to document detection gives a 1.8M-parameter rectifier that is faster than YOLO11, RTMDet, and Jdeskew while keeping OCR quality competitive on a synthetic ID dataset.
Midv-2020: a comprehensive benchmark dataset for identity document analysis,
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Exploring Light-Weight Object Recognition for Real-Time Document Detection
Adapting IWPOD-Net to document detection gives a 1.8M-parameter rectifier that is faster than YOLO11, RTMDet, and Jdeskew while keeping OCR quality competitive on a synthetic ID dataset.