Search Results for author:
Found 2 papers, 1 papers with code
Adversarial sample generation and training using geometric masks for accurate and resilient license plate character recognition
Reading dirty license plates accurately in moving vehicles is challenging for automatic license plate recognition systems.
DeepSF: deep convolutional neural network for mapping protein sequences to folds
Almost all traditional fold recognition methods use sequence (homology) comparison to indirectly predict the fold of a tar get protein based on the fold of a template protein with known structure, which cannot explain the relationship between sequence and fold.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
