Online Mistake Detection
2 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Online Mistake Detection
Most implemented papers
PREGO: online mistake detection in PRocedural EGOcentric videos
aleflabo/prego
•
•
We propose PREGO, the first online one-class classification model for mistake detection in PRocedural EGOcentric videos.
Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos
fpv-iplab/differentiable-task-graph-learning
•
•
Task graphs learned with our approach are also shown to significantly enhance online mistake detection in procedural egocentric videos, achieving notable gains of +19. 8% and +7. 5% on the Assembly101 and EPIC-Tent datasets.
