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Found 7 papers, 1 papers with code
Content-Aware Detection of Temporal Metadata Manipulation
Finally, we demonstrate how the proposed method can be employed to estimate a possible time-of-capture in scenarios in which the timestamp is missing from the metadata.
Remote Estimation of Free-Flow Speeds
We propose an automated method to estimate a road segment's free-flow speed from overhead imagery and road metadata.
Learning to Map Nearly Anything
Looking at the world from above, it is possible to estimate many properties of a given location, including the type of land cover and the expected land use.
Learning Geo-Temporal Image Features
We propose to implicitly learn to extract geo-temporal image features, which are mid-level features related to when and where an image was captured, by explicitly optimizing for a set of location and time estimation tasks.
Defense-PointNet: Protecting PointNet Against Adversarial Attacks
Despite remarkable performance across a broad range of tasks, neural networks have been shown to be vulnerable to adversarial attacks.
Joint 2D-3D Breast Cancer Classification
Breast cancer is the malignant tumor that causes the highest number of cancer deaths in females.
Learning a Dynamic Map of Visual Appearance
The appearance of the world varies dramatically not only from place to place but also from hour to hour and month to month.
