UniSpector: Towards Universal Open-set Defect Recognition via Spectral-Contrastive Visual Prompting

ArXi:2604.02905v1 Announce Type: new Although industrial inspection systems should be capable of recognizing unprecedented defects, most existing approaches operate under a closed-set assumption, which prevents them from detecting novel anomalies. While visual prompting offers a scalable alternative for industrial inspection, existing methods often suffer from prompt embedding collapse due to high intra-class variance and subtle inter-class differences.