VERA

Survey summary

VERA is a verbalized learning framework letting frozen VLMs perform explainable VAD without parameter updates: it decomposes VAD reasoning into learnable guiding questions optimized via data-driven verbal interactions on coarsely labeled data, then fuses scene and temporal context into frame-level anomaly scores.

Training-Free