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A limitation of pooled VAD evaluation is revealed and reporting within-video ranking alongside Micro-AUROC is motivated and motivates reporting within-video ranking alongside Micro-AUROC.
Anomaly detection aims to identify observations that deviate from normal patterns. Recent work has increasingly used pretrained vision--language models (VLMs) for training-free image and video anomaly detection without task-specific retraining. Anomaly detection is commonly evaluated by how well anomaly scores rank ano...
Weakly supervised video anomaly detectors are trained with video-level labels but are commonly evaluated as temporal localizers using Micro-AUROC or AP over pooled test frames. Because these metrics compare frames from different videos, a detector can score well by separating videos without accurately ordering moments...
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