PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation

Keyphrases

• Anomaly Detection 100%
• One-class Classification 100%
• Pandas 100%
• Anomaly Segmentation 100%
• Performance Gain 50%
• Pre-trained Features 50%
• Anomaly Detection System 50%
• Popular 25%
• Adaptation 25%
• State-of-the-art Techniques 25%
• Supervised Learning 25%
• Large Margin 25%
• Promising Direction 25%
• Catastrophic Collapse 25%
• Outlier Exposure 25%
• Target Distribution 25%
• Elastic Regularization 25%
• Collapse Pattern 25%
• Continual Learning 25%
• Specialized Architectures 25%
• Transfer Learning Model 25%
• Self-supervised Features 25%
• Classification Methods 25%
• Deep Self 25%
• Supervised Feature Learning 25%
• Early Stopping 25%
• Segmentation Method 25%
• Multi-class Classification 25%
• Adaptation Methods 25%
• Complex State 25%

Computer Science

• Anomaly Detection 100%
• Class Classification 80%
• Performance Gain 40%
• Detection Method 40%
• Regularization 20%
• Supervised Learning 20%
• Classification Problem 20%
• Segmentation Method 20%
• Transfer Learning 20%
• Multi Class Classification 20%
• Multiclass Classification 20%
• Representation Learning 20%
• Classification Method 20%
• Deep Feature 20%
• Target Distribution 20%

Earth and Planetary Sciences

• State of the Art 100%
• Supervised Learning 50%
• Detection Method 50%