Gaze regularization aligns VLA attention with human visual patterns via KL divergence on patch distributions, yielding 4-12% gains on manipulation benchmarks.
Gaze-informed egocentric action recogni- tion for memory aid systems.IEEE Access, 6:12894–12904,
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Gaze-Regularized Vision-Language-Action Models for Robotic Manipulation
Gaze regularization aligns VLA attention with human visual patterns via KL divergence on patch distributions, yielding 4-12% gains on manipulation benchmarks.