CLEVRER introduces a diagnostic dataset for evaluating video models on causal reasoning via descriptive, explanatory, predictive, and counterfactual questions about object collision events.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2019 1verdicts
ACCEPT 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
CLEVRER: CoLlision Events for Video REpresentation and Reasoning
CLEVRER introduces a diagnostic dataset for evaluating video models on causal reasoning via descriptive, explanatory, predictive, and counterfactual questions about object collision events.