Image Quality Assessment Driven Self-Supervised Anomaly Detection.
Zhipeng WangChunping HouYang LiuBangbang GeGuanghui YueChunying SongPublished in: ICME Workshops (2021)
Keyphrases
- anomaly detection
- image quality assessment
- quality assessment
- structural similarity
- image quality
- anomalous behavior
- intrusion detection
- correlation coefficient
- image database
- network traffic
- detecting anomalies
- human visual system
- one class support vector machines
- network intrusion detection
- detect anomalies
- human perception
- quality metrics
- intrusion detection system
- natural images
- unsupervised learning
- visual perception
- negative selection algorithm
- quality evaluation
- quality measures
- kullback leibler divergence
- machine learning
- natural scenes
- probabilistic model
- pairwise