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Found 6 papers, 4 papers with code
Generalized multiscale feature extraction for remaining useful life prediction of bearings with generative adversarial networks
The experimental results show that the proposed feature extraction method can effectively predict the RUL and outperforms the conventional RUL prediction approaches based on deep neural networks.
Supervised Segmentation with Domain Adaptation for Small Sampled Orbital CT Images
Deep neural networks (DNNs) have been widely used for medical image analysis.
Discriminative feature generation for classification of imbalanced data
In this paper, we propose a novel supervised discriminative feature generation (DFG) method for a minority class dataset.
Two-stage generative adversarial networks for document image binarization with color noise and background removal
Document image enhancement and binarization methods are often used to improve the accuracy and efficiency of document image analysis tasks such as text recognition.
Ranked #1 on
Binarization
on LRDE DBD
Predicting Chemical Properties using Self-Attention Multi-task Learning based on SMILES Representation
The selection of proper molecular descriptors and fingerprints is both important and challenging as the performance of such models is highly dependent on descriptors.
Fusion of Global-Local Features for Image Quality Inspection of Shipping Label
These results are expected to improve the shipping address recognition and verification system by applying different image preprocessing steps based on the classified conditions.
