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Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
Reliable video understanding requires high-quality video datasets that can provide both precise semantic labels and temporally consistent annotations. Detecting annotation errors in densely labeled videos is challenging because errors may arise from semantic **mislabeling**, where labels disagree wi
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