computer-vision-5

Online Mistake Detection

3260 papers • 126 benchmarks • 313 datasets

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Most implemented papers

PREGO: Online Mistake Detection in PRocedural EGOcentric Videos

Antonino Furnari, G. Farinella, Alessandro Flaborea, Luca Scofano, Edoardo De Matteis, Guido Maria D'Amely di Melendugno, L. Plini, Fabio Galasso•Mon Apr 01 2024

This work proposes PREGO, the first online one-class classification model for mistake detection in PRocedural EGOcentric videos, based on an online action recognition component to model the current action, and a symbolic reasoning module to predict the next actions.

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Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos

Antonino Furnari, G. Farinella, Luigi Seminara•Sun Jun 02 2024

This paper proposes an approach based on direct maximum likelihood optimization of edges' weights, which allows gradient-based learning of task graphs and can be naturally plugged into neural network architectures and introduces a feature-based approach, aiming to predict task graphs from key-step textual or video embeddings.

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