Ddbn

Primarily used for visual data classification and scene recognition (e.g., indoor environment classification).

A novel object detection framework designed to enhance semantic diversity in predictions, often using "Adjacent Feature Compensation" (AFC). Key Features: Primarily used for visual data classification and scene

A classifier used for human activity recognition in videos, combining Fuzzy logic with "Dragon Deep Belief Neural Networks" (DDBN). Primarily used for visual data classification and scene