VQA-CP
Emerging5papers using it
2019first seen
'VQA-CP' is a dataset used to evaluate visual question answering systems, specifically focusing on their performance under distribution shifts in multi-modal contexts.
Papers using VQA-CP (5)
- FRAMES-VQA: Benchmarking Fine-Tuning Robustness across Multi-Modal Shifts in Visual Question AnsweringGreedy Gradient Ensemble for Robust Visual Question AnsweringSC-ML: Self-supervised Counterfactual Metric Learning for Debiased
Visual Question AnsweringTaking a HINT: Leveraging Explanations to Make Vision and Language
Models More GroundedWeaQA: Weak Supervision via Captions for Visual Question Answering