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Found 5 papers, 0 papers with code
Towards End-to-End Neural Face Authentication in the Wild - Quantifying and Compensating for Directional Lighting Effects
This work shows that an SoA neural face recognition model can be tuned to compensate for directional lighting effects, removing the need for a pre-processing step before applying facial recognition.
Re-Training StyleGAN -- A First Step Towards Building Large, Scalable Synthetic Facial Datasets
The role of this tool in building large, scalable datasets of synthetic facial data is also discussed.
Dataset Cleaning -- A Cross Validation Methodology for Large Facial Datasets using Face Recognition
In this work, it is presented a semi-automatic method for cleaning the noisy large face datasets with the use of face recognition.
Advanced Deep Learning Methodologies for Skin Cancer Classification in Prodromal Stages
The experimental results demonstrate notable improvement in train and validation accuracy by using the refined version of images of both the networks, however, the Inception-v3 network was able to achieve better validation accuracy thus it was finally selected to evaluate it on test data.
Deep Neural Network and Data Augmentation Methodology for off-axis iris segmentation in wearable headsets
A data augmentation methodology is presented and applied to generate a large dataset of off-axis iris regions and train a low-complexity deep neural network.
