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Found 3 papers, 1 papers with code
Learning Not to Reconstruct Anomalies
Typically, to tackle this problem, an autoencoder (AE) is trained to reconstruct the input with training set consisting only of normal data.
Ranked #19 on
Anomaly Detection
on CUHK Avenue
Zero-Shot Calibration of Fisheye Cameras
In this paper, we present a novel zero-shot camera calibration method that estimates camera parameters with no calibration image.
Concurrent Tracking of Inliers and Outliers
We consider outliers as important as inliers for object tracking and propose a motion estimation algorithm based on concurrent tracking of inliers and outliers.
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