AI RESEARCH
Real-time Appearance-based Gaze Estimation for Open Domains
arXiv CS.CV
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ArXi:2603.26945v1 Announce Type: new Appearance-based gaze estimation (AGE) has achieved remarkable performance in constrained settings, yet we reveal a significant generalization gap where existing AGE models often fail in practical, unconstrained scenarios, particularly those involving facial wearables and poor lighting conditions. We attribute this failure to two core factors: limited image diversity and inconsistent label fidelity across different datasets, especially along the pitch axis.