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cs.CV2026
SwinAD: Multi-stage feature reconstruction for unsupervised industrial anomaly detection
Huong Ninh, Chien Thai, Mai Xuan Trang +3
Industrial anomaly detection aims to identify and localize defective regions without relying on exhaustive annotations of all possible defect types. Although recent unsupervised me…
cs.CV2025★ 2 cited
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…