RCORE mitigates object-driven shortcuts in ZS-CAR via co-occurrence prior regularization as hard negatives and temporal order regularization to improve generalization on unseen compositions.
We then utilize both original and temporally shuffled inputs to assess the model’s tempo- ral modeling capability and its reliance on static cues
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Why Can't I Open My Drawer? Mitigating Object-Driven Shortcuts in Zero-Shot Compositional Action Recognition
RCORE mitigates object-driven shortcuts in ZS-CAR via co-occurrence prior regularization as hard negatives and temporal order regularization to improve generalization on unseen compositions.