calibration 1few-shot learning 1industrial inspection 1multimodal anomaly detection 1rgb-3d fusion 1
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cs.CV2026
TC-MAF: Train-Calibrated Bounded Multi-Evidence Fusion for Multimodal Industrial Anomaly Detection
Ming Deng, Sijin Sun, Xiaochuan Hu +1
The paper introduces TC-MAF, a method that fuses RGB images and 3D data with a calibrated weighting scheme to improve industrial anomaly detection and localization, achieving state…
cs.CV2025
FMNet: Frequency-Assisted Mamba-Like Linear Attention Network for Camouflaged Object Detection
Ming Deng, Sijin Sun, Zihao Li +2
Camouflaged Object Detection (COD) is challenging due to the strong similarity between camouflaged objects and their surroundings, which complicates identification. Existing method…
cs.CV2025
Self-Adaptive Gamma Context-Aware SSM-based Model for Metal Defect Detection
Sijin Sun, Ming Deng, Xingrui Yu +2
Metal defect detection is critical in industrial quality assurance, yet existing methods struggle with grayscale variations and complex defect states, limiting its robustness. To a…