Search Results for author:
Found 3 papers, 0 papers with code
Regressing Relative Fine-Grained Change for Sub-Groups in Unreliable Heterogeneous Data Through Deep Multi-Task Metric Learning
Fine-Grained Change Detection and Regression Analysis are essential in many applications of ArtificialIntelligence.
Understanding and Exploiting Dependent Variables with Deep Metric Learning
Deep Metric Learning (DML) approaches learn to represent inputs to a lower-dimensional latent space such that the distance between representations in this space corresponds with a predefined notion of similarity.
Deep Learning vs. Traditional Computer Vision
However, that is not to say that the traditional computer vision techniques which had been undergoing progressive development in years prior to the rise of DL have become obsolete.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
