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Found 3 papers, 1 papers with code
Group Feature Learning and Domain Adversarial Neural Network for aMCI Diagnosis System Based on EEG
On the DMS data set, GF-DANN has obtained an accuracy rate of 89. 47%, and the sensitivity and specificity are 90% and 89%.
Intention Recognition of Pedestrians and Cyclists by 2D Pose Estimation
In this paper, we show how the same methodology can be used for recognizing pedestrians and cyclists' intentions.
Is the Pedestrian going to Cross? Answering by 2D Pose Estimation
Our recent work suggests that, thanks to nowadays powerful CNNs, image-based 2D pose estimation is a promising cue for determining pedestrian intentions such as crossing the road in the path of the ego-vehicle, stopping before entering the road, and starting to walk or bending towards the road.
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