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Found 6 papers, 0 papers with code
IDTrust: Deep Identity Document Quality Detection with Bandpass Filtering
The increasing use of digital technologies and mobile-based registration procedures highlights the vital role of personal identity documents (IDs) in verifying users and safeguarding sensitive information.
TransferDoc: A Self-Supervised Transferable Document Representation Learning Model Unifying Vision and Language
The field of visual document understanding has witnessed a rapid growth in emerging challenges and powerful multi-modal strategies.
Ranked #19 on
Document Image Classification
on RVL-CDIP
EAML: Ensemble Self-Attention-based Mutual Learning Network for Document Image Classification
To the best of our knowledge, this is the first time to leverage a mutual learning approach along with a self-attention-based fusion module to perform document image classification.
Ranked #1 on
Document Image Classification
on RVL-CDIP
VLCDoC: Vision-Language Contrastive Pre-Training Model for Cross-Modal Document Classification
Multimodal learning from document data has achieved great success lately as it allows to pre-train semantically meaningful features as a prior into a learnable downstream task.
Ranked #18 on
Document Image Classification
on RVL-CDIP
Visual and Textual Deep Feature Fusion for Document Image Classification
Moreover, a joint feature learning approach that combines image features and text embeddings is introduced as a late fusion methodology.
Ranked #2 on
Document Image Classification
on RVL-CDIP
Face Detection in Camera Captured Images of Identity Documents under Challenging Conditions
Benefiting from the advance of deep convolutional neural network approaches (CNNs), many face detection algorithms have achieved state-of-the-art performance in terms of accuracy and very high speed in unconstrained applications.
