Early Action Prediction
3 papers with code • 4 benchmarks • 3 datasets
Most implemented papers
Online Real-time Multiple Spatiotemporal Action Localisation and Prediction
To the best of our knowledge, ours is the first real-time (up to 40fps) system able to perform online S/T action localisation and early action prediction on the untrimmed videos of UCF101-24.
Rich Action-semantic Consistent Knowledge for Early Action Prediction
Next, we build a bi-directional semantic graph for the teacher network and a single-directional semantic graph for the student network to model rich ASCK among partial videos.
The Wisdom of Crowds: Temporal Progressive Attention for Early Action Prediction
We propose a bottleneck-based attention model that captures the evolution of the action, through progressive sampling over fine-to-coarse scales.