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.
Efficient skew detection and correction in scanned document images through clustering of probabilistic hough transforms,
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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.