Convolutional Neural Networks Adapted for Regression Tasks: Predicting the Orientation of Straight Arrows on Marked Road Pavement Using Deep Learning and Rectified Orthophotography
"Study workflow: generating an arrow dataset from orthophotography and evaluating the final model selection method."
Arrow signs found on roadway pavement are an important component of modern transportation systems. Given the rise in autonomous vehicles, public agencies are increasingly interested in accurately identifying and analysing detailed road pavement information to generate comprehensive road maps and...
Optimización de modelos de redes neuronales: un análisis del estado de la cuestión
Sparsity in deep learning: Pruning and growth for efficient inference and training in neural networks" />
"Evolution of neuroplasticity at different ages. Source: Sparsity in deep learning: Pruning and growth for efficient inference and training in neural networks"
This work provides a comprehensive overview of state-of-the-art methods for compression and optimization of neural networks. The methodology used involves a thorough literature review, analyzing different approaches and algorithms employed for compression and optimization of neural network models. Each approach,...
