Papers with CRIPP-VQA

1 papers
CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering (2022.emnlp-main)

Copied to clipboard

Challenge: Videos often capture objects, their visible properties, their motion, and the interactions between different objects.
Approach: They propose a video question answering dataset for reasoning about the implicit physical properties of objects in a scene.
Outcome: The proposed dataset enables evaluation under several out-of-distribution settings – videos with objects with masses, coefficients of friction, and initial velocities that are not observed in the training distribution.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations