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Found 5 papers, 0 papers with code
Excision And Recovery: Visual Defect Obfuscation Based Self-Supervised Anomaly Detection Strategy
To enhance the UAD performance, reconstruction-by-inpainting based methods have recently been investigated, especially on the masking strategy of suspected defective regions.
Ranked #66 on
Anomaly Detection
on MVTec AD
Self-Supervised Anomaly Detection
Supervised Anomaly Detection
+1
Neural Network Training Strategy to Enhance Anomaly Detection Performance: A Perspective on Reconstruction Loss Amplification
In contrast, we note that containing of generalization ability in reconstruction can also be obtained simply from steep-shaped loss landscape.
Edge Storage Management Recipe with Zero-Shot Data Compression for Road Anomaly Detection
However, the edge computers will have small data storage but we need to store the collected audio samples for a long time in order to update existing models or develop a novel method.
Frequency of Interest-based Noise Attenuation Method to Improve Anomaly Detection Performance
Accurately extracting driving events is the way to maximize computational efficiency and anomaly detection performance in the tire frictional nose-based anomaly detection task.
Noise Reduction and Driving Event Extraction Method for Performance Improvement on Driving Noise-based Surface Anomaly Detection
Foreign substances on the road surface, such as rainwater or black ice, reduce the friction between the tire and the surface.
