A benchmark of ten VQA datasets shows SPD wins on in-distribution and near-OOD accuracy, FTP wins on far-OOD accuracy, and question shifts dominate joint embedding shifts after fine-tuning.
To- wards Causal VQA: Revealing and Reducing Spurious Cor- relations by Invariant and Covariant Semantic Editing
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FRAMES-VQA: Benchmarking Fine-Tuning Robustness across Multi-Modal Shifts in Visual Question Answering
A benchmark of ten VQA datasets shows SPD wins on in-distribution and near-OOD accuracy, FTP wins on far-OOD accuracy, and question shifts dominate joint embedding shifts after fine-tuning.