3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Small Object Few-shot Segmentation for Vision-based Industrial Inspection
Zilong Zhang, Chang Niu, Zhibin Zhao +2
Vision-based industrial inspection (VII) aims to locate defects quickly and accurately. Supervised learning under a close-set setting and industrial anomaly detection, as two commo…
cs.CV2023
CA2: Class-Agnostic Adaptive Feature Adaptation for One-class Classification
Zilong Zhang, Zhibin Zhao, Deyu Meng +2
One-class classification (OCC), i.e., identifying whether an example belongs to the same distribution as the training data, is essential for deploying machine learning models in th…
cs.CV2023★ 3 cited
Industrial Anomaly Detection with Domain Shift: A Real-world Dataset and Masked Multi-scale Reconstruction
Zilong Zhang, Zhibin Zhao, Xingwu Zhang +2
Industrial anomaly detection (IAD) is crucial for automating industrial quality inspection. The diversity of the datasets is the foundation for developing comprehensive IAD algorit…