Ddbn

A novel object detection framework designed to enhance semantic diversity in predictions, often using "Adjacent Feature Compensation" (AFC). Key Features:

Replaces standard Feature Pyramid Networks (FPN) with dual detection branches (e.g., A novel object detection framework designed to enhance

Aims to improve accuracy by generating different semantic features. 2. Discriminative Deep Belief Network (Machine Learning) A novel object detection framework designed to enhance