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Found 4 papers, 1 papers with code
Action Anticipation with Goal Consistency
In this paper, we address the problem of short-term action anticipation, i. e., we want to predict an upcoming action one second before it happens.
Ranked #1 on
Action Anticipation
on Assembly101
Self-supervised Learning for Unintentional Action Prediction
Distinguishing if an action is performed as intended or if an intended action fails is an important skill that not only humans have, but that is also important for intelligent systems that operate in human environments.
Multi-Modal Temporal Convolutional Network for Anticipating Actions in Egocentric Videos
This poses a problem for domains such as autonomous driving, where the reaction time is crucial.
Ranked #8 on
Action Anticipation
on EPIC-KITCHENS-100 (test)
Discovering Latent Classes for Semi-Supervised Semantic Segmentation
On unlabeled images, we predict a probability map for latent classes and use it as a supervision signal to learn semantic segmentation.
