2026
Explicit Modeling of Causal Factors and Confounders for Image Classification
AAAI 2026technical
Causal inference has emerged as a promising approach for identifying decisive semantic factors and eliminating spurious correlations in visual representation learning. However, most existing methods rely on latent, data-driven confounder modeling, normally attributing the source of bias to backgroun