: They are critical for tasks such as anomaly detection in surveillance, medical image analysis, and forgery detection.
: Combine these basics into complex, semantically meaningful objects or patterns. : They are critical for tasks such as
: Unlike traditional "handcrafted" features (like color or shape) that require expert design, deep features are learned directly from raw data. Hierarchical Abstraction : medical image analysis
: They are critical for tasks such as anomaly detection in surveillance, medical image analysis, and forgery detection.
: Combine these basics into complex, semantically meaningful objects or patterns.
: Unlike traditional "handcrafted" features (like color or shape) that require expert design, deep features are learned directly from raw data. Hierarchical Abstraction :
