1 citations · 3 across the 8 of their papers we have counts for
Showing 2026Show all
3 papers · 1 filter
cs.CV2026
Align3D-AD: Cross-Modal Feature Alignment and Dual-Prompt Learning for Zero-shot 3D Anomaly Detection
Letian Bai, Xuanming Cao, Juan Du +1
Zero-shot 3D anomaly detection aims to identify anomalies without access to training data from target categories. However, existing methods mainly rely on projecting 3D observation…
cs.CV2026
FORGE: Fine-grained Multimodal Evaluation for Manufacturing Scenarios
Xiangru Jian, Hao Xu, Wei Pang +13
The manufacturing sector is increasingly adopting Multimodal Large Language Models (MLLMs) to transition from simple perception to autonomous execution, yet current evaluations fai…
cs.CV2026
SGANet: Semantic and Geometric Alignment for Multimodal Multi-view Anomaly Detection
Letian Bai, Chengyu Tao, Juan Du
Multi-view anomaly detection aims to identify surface defects on complex objects using observations captured from multiple viewpoints. However, existing unsupervised methods often…