VQA-CPv-2
Emerging5papers using it
2022first seen
The 'VQA-CPv-2' dataset is a benchmark used to evaluate the generalization ability of Visual Question Answering models on out-of-distribution data.
Papers using VQA-CPv-2 (5)
- Integrating Object Interaction Self-Attention and GAN-Based Debiasing for Visual Question AnsweringMPCAR: Multi-Perspective Contextual Augmentation for Enhanced Visual Reasoning in Large Vision-Language ModelsOvercoming Language Priors for Visual Question Answering Based on
Knowledge DistillationAn Empirical Study on the Language Modal in Visual Question AnsweringBarlow constrained optimization for Visual Question Answering