Multimodal deep network using image features and OCR word embeddings boosts document classification accuracy by 3% over image-only baselines on Tobacco3482 and RVL-CDIP with a new QS-OCR dataset.
Segmentation and classification for mixed text/image documents using neural network
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Multimodal deep networks for text and image-based document classification
Multimodal deep network using image features and OCR word embeddings boosts document classification accuracy by 3% over image-only baselines on Tobacco3482 and RVL-CDIP with a new QS-OCR dataset.