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Found 2 papers, 1 papers with code
Domain Adaptation of Synthetic Driving Datasets for Real-World Autonomous Driving
One of the popular solutions in bridging this gap between synthetic and actual world data is to frame it as a domain adaptation task.
Learning Deep and Compact Models for Gesture Recognition
The final model is less than $1~MB$ in size, which is less than one hundredth of our initial model, with a drop of $7\%$ in accuracy, and is suitable for real-time gesture recognition on mobile devices.
Ranked #1 on
Gesture Recognition
on Chalearn 2014
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