Ddbn May 2026

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

Uses a "Diversity Enhancement Strategy" (DES) for training rather than traditional regression. 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