RCORE Mitigates Object-Driven Shortcut Learning in Zero-Shot Action Recognition

RCORE addresses failure modes in Zero-Shot Compositional Action Recognition where models rely on object labels rather than temporal verb cues. The method uses Co-occurrence Prior Regularization to prevent overfitting to training co-occurrence patterns, improving generalization to unseen verb-object combinations.