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Unsupervised Anomaly Detection in Time-series: An Extensive Evaluation and Analysis of State-of-the-art Methods
Notwithstanding the relevance of this topic in numerous application fields, a complete and extensive evaluation of recent state-of-the-art techniques is still missing.
TransferI2I: Transfer Learning for Image-to-Image Translation from Small Datasets
In this paper, we propose a new transfer learning for I2I translation (TransferI2I).
Review on Computer Vision Techniques in Emergency Situation
The number of emergencies where computer vision tools has been considered or used is very wide, and there is a great overlap across related emergency research.
Bandwidth limited object recognition in high resolution imagery
This paper proposes a novel method to optimize bandwidth usage for object detection in critical communication scenarios.
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