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Found 6 papers, 3 papers with code
Large Scale Font Independent Urdu Text Recognition System
To this end, this paper makes following contributions: (i) we introduce a large scale, multiple fonts based data set for printed Urdu text recognition;(ii) we have designed, trained and evaluated a CNN based model for Urdu text recognition; (iii) we experiment with incremental learning methods to produce state-of-the-art results for Urdu text recognition.
Improving Super-Resolution Methods via Incremental Residual Learning
Recently, Convolutional Neural Networks (CNNs) have shown promising performance in super-resolution (SR).
Intelligent EHRs: Predicting Procedure Codes From Diagnosis Codes
In order to submit a claim to insurance companies, a doctor needs to code a patient encounter with both the diagnosis (ICDs) and procedures performed (CPTs) in an Electronic Health Record (EHR).
End-to-end Trained CNN Encode-Decoder Networks for Image Steganography
All the existing image steganography methods use manually crafted features to hide binary payloads into cover images.
Recovering Homography from Camera Captured Documents using Convolutional Neural Networks
Removing perspective distortion from hand held camera captured document images is one of the primitive tasks in document analysis, but unfortunately, no such method exists that can reliably remove the perspective distortion from document images automatically.
