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Found 5 papers, 2 papers with code
Predictive Model Selection for Transfer Learning in Sequence Labeling Tasks
Transfer learning is a popular technique to learn a task using less training data and fewer compute resources.
3D Human motion anticipation and classification
Our model learns to predict multiple future sequences of human poses from the same input sequence.
Automatic Labeling of Data for Transfer Learning
Transfer learning uses trained weights from a source model as the initial weightsfor the training of a target dataset.
Report: Dynamic Eye Movement Matching and Visualization Tool in Neuro Gesture
In the research of the impact of gestures using by a lecturer, one challenging task is to infer the attention of a group of audiences.
HP-GAN: Probabilistic 3D human motion prediction via GAN
Our model, which we call HP-GAN, learns a probability density function of future human poses conditioned on previous poses.
Ranked #7 on
Human Pose Forecasting
on Human3.6M
(APD metric)
