Accurate visual tracking with attention feature fusion

Computer Science

• Feature Fusion 100%
• Classification 50%
• Extracted Feature 50%
• Backbone Network 50%
• Tracking System 25%
• Network Structure 25%
• Concatenation Operation 25%
• Iterative Refinement 25%
• State Estimation 25%
• Network Estimation 25%
• Accuracy 25%
• Networks 25%
• Roles 25%
• Residual Neural Network 25%
• Attention (Machine Learning) 25%

INIS

• weight 75%
• classification 50%
• iterative methods 50%
• levels 25%
• operation 25%
• accuracy 25%
• nonlinear problems 25%
• layers 25%
• efficiency 25%
• demand 25%