3260 papers • 126 benchmarks • 313 datasets
This task has no description! Would you like to contribute one?
(Image credit: Papersgraph)
These leaderboards are used to track progress in human-behavior-forecasting-3
No benchmarks available.
Use these libraries to find human-behavior-forecasting-3 models and implementations
The Social Process (SP) models are proposed--socially aware sequence-to-sequence models that view each conversation group as a meta-learning task to account for group-specific dynamics and validate the specific modeling choices for this task.
This work presents the first systematic comparison of state-of-the-art approaches for behavior forecasting with whole-body annotations from the very recently released UDIVA v0.5, and shows that by autoregressively predicting the future with methods trained for the short-term future, this finding holds when highly noisy annotations are used, which opens new horizons towards the use of weak-supervised learning.
Adding a benchmark result helps the community track progress.