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Found 4 papers, 1 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.
Improving Traffic Safety Through Video Analysis in Jakarta, Indonesia
This project presents the results of a partnership between the Data Science for Social Good fellowship, Jakarta Smart City and Pulse Lab Jakarta to create a video analysis pipeline for the purpose of improving traffic safety in Jakarta.
