Industrial Anomaly Detection using Vision Based Cross Transformers
Author:
Affiliation:
1. National University of Computer and Emerging Sciences (FAST NUCES),FAST School of Computing,Karachi Campus,Pakistan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10335694/10335700/10335864.pdf?arnumber=10335864
Reference17 articles.
1. Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection
2. TRASMIL: A local anomaly detection framework based on trajectory segmentation and multi-instance learning
3. Multiple instance-based video anomaly detection using deep temporal encoding–decoding
4. Real-World Anomaly Detection in Surveillance Videos
5. A Novel Utilization of Image Registration Techniques to Process Mastcam Images in Mars Rover With Applications to Image Fusion, Pixel Clustering, and Anomaly Detection
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