calibration 1few-shot learning 1industrial inspection 1multimodal anomaly detection 1rgb-3d fusion 1
From the 1 of 2 linked papers with an AI index.
2 papers
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…