industrial inspection 1multi-scale reconstruction 1pixel-level localization 1swin transformer 1unsupervised anomaly detection 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.CV2026
SwinAD: Multi-stage feature reconstruction for unsupervised industrial anomaly detection
Huong Ninh, Chien Thai, Mai Xuan Trang +3
The paper presents SwinAD, an unsupervised industrial anomaly detection framework that combines a frozen pretrained Swin Transformer V2 encoder with a multi-stage, diversity‑preser…
cs.CV2025
Enhancing Rotated Object Detection via Anisotropic Gaussian Bounding Box and Bhattacharyya Distance
Chien Thai, Mai Xuan Trang, Huong Ninh +2
Detecting rotated objects accurately and efficiently is a significant challenge in computer vision, particularly in applications such as aerial imagery, remote sensing, and autonom…