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Found 7 papers, 6 papers with code
Counterfactual World Modeling for Physical Dynamics Understanding
Third, the counterfactual modeling capability enables the design of counterfactual queries to extract vision structures similar to keypoints, optical flows, and segmentations, which are useful for dynamics understanding.
SEVA: Leveraging sketches to evaluate alignment between human and machine visual abstraction
Sketching is a powerful tool for creating abstract images that are sparse but meaningful.
Identifying concept libraries from language about object structure
Our understanding of the visual world goes beyond naming objects, encompassing our ability to parse objects into meaningful parts, attributes, and relations.
Visual resemblance and communicative context constrain the emergence of graphical conventions
From photorealistic sketches to schematic diagrams, drawing provides a versatile medium for communicating about the visual world.
Learning to communicate about shared procedural abstractions
Many real-world tasks require agents to coordinate their behavior to achieve shared goals.
Physion: Evaluating Physical Prediction from Vision in Humans and Machines
While current vision algorithms excel at many challenging tasks, it is unclear how well they understand the physical dynamics of real-world environments.
Visual communication of object concepts at different levels of abstraction
People can produce drawings of specific entities (e. g., Garfield), as well as general categories (e. g., "cat").
