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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…
cs.CV2024
A Novel Representation of Periodic Pattern and Its Application to Untrained Anomaly Detection
Peng Ye, Chengyu Tao, Juan Du
There are a variety of industrial products that possess periodic textures or surfaces, such as carbon fiber textiles and display panels. Traditional image-based quality inspection…