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Found 2 papers, 1 papers with code
Zero-Shot Activity Recognition with Videos
On the visual side, we used activity videos and a state-of-the-art 3D convolutional action recognition network to extract the features.
Unsupervised Odometry and Depth Learning for Endoscopic Capsule Robots
In the last decade, many medical companies and research groups have tried to convert passive capsule endoscopes as an emerging and minimally invasive diagnostic technology into actively steerable endoscopic capsule robots which will provide more intuitive disease detection, targeted drug delivery and biopsy-like operations in the gastrointestinal(GI) tract.
Robotics
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