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Found 4 papers, 1 papers with code
A Survey on Machine Learning Approaches for Modelling Intuitive Physics
Despite the wide range of work in physical reasoning for machine cognition, there is a scarcity of reviews that organize and group these deep learning approaches.
Exploring Unsupervised Learning Methods for Automated Protocol Analysis
Our proposed hybrid approach performed the best in 7 out of 9 of the diverse test datasets, thus displaying the robustness to generalise across diverse unknown protocols.
A Benchmark for Modeling Violation-of-Expectation in Physical Reasoning Across Event Categories
Recent work in computer vision and cognitive reasoning has given rise to an increasing adoption of the Violation-of-Expectation (VoE) paradigm in synthetic datasets.
AVoE: A Synthetic 3D Dataset on Understanding Violation of Expectation for Artificial Cognition
Recent work in cognitive reasoning and computer vision has engendered an increasing popularity for the Violation-of-Expectation (VoE) paradigm in synthetic datasets.
