Deep FCN with Random Data Augmentation for Enhanced Generalization in Road Detection (DEEP-DIG)

By | June 5th, 2018|Uncategorized @en|0 Comments

The INVETT Research Group of the University of Alcalá has developed a Deep Learning system for accurate road detection using the ResNet-101 network with a fully convolutional architecture and multiple upscaling steps for image interpolation. It is demonstrated that significant generalization gains in the learning process are attained by randomly generating augmented training data using [...]