Counterfactual Reasoning for Robust Visual Question Answering
This story is from 2026-09-17. It is preserved in the archive; the latest stories are on the live feed.
arXiv:2609.16567v1 Announce Type: new Abstract: Modern Visual Question Answering (VQA) models often exploit spurious correlations in training data, leading to poor out-of-distribution (OOD) generalization due to language bias. Although counterfactual learning has shown promise, existing methods can…
Read the full story at arXiv cs.CV ↗
Timeline · 1 report
- 2026-09-17 04:00 · arXiv cs.CV
Counterfactual Reasoning for Robust Visual Question Answering