3 accepted papers
Anomaly detection is a significant task for its application and research value. While existing methods have made impressive progress within the same modality, cross-modal anomaly detection remains an open and challenging problem. In this paper, we propose a cross-modal anomaly detection model that i…
Anomaly detection has garnered significant attention for its extensive industrial application value. Most existing methods focus on single-view scenarios and fail to detect anomalies hidden in blind spots, leaving a gap in addressing the demands of multi-view detection in practical applications. Ens…
An accurate and generalizable dense 3D reconstruction system has attracted much attention. However, existing 3D dense reconstruction systems are constrained by pre-training, and there is a need for enhanced reconstruction of texture and shape details. We propose an end-to-end 3D reconstruction syste