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Found 3 papers, 1 papers with code
Physics Informed and Data Driven Simulation of Underwater Images via Residual Learning
We propose a deep learning-based architecture to automatically simulate the underwater effects where only a dehazing-like image formation equation is known to the network, and the additional degradation due to the other unknown factors if inferred in a data-driven way.
Exploring Multi-Tasking Learning in Document Attribute Classification
In this work, we adhere to explore a Multi-Tasking learning (MTL) based network to perform document attribute classification such as the font type, font size, font emphasis and scanning resolution classification of a document image.
Performance Evaluation of Deep Generative Models for Generating Hand-Written Character Images
Unfortunately, there have been very limited amount of work done in the domain of document image processing.
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