Ensemble CNN-ViT Using Feature-Level Fusion for Gait Recognition

Engineering

• Level Feature 100%
• Convolutional Neural Network 100%
• Gait Recognition 100%
• Energy Engineering 50%
• Perceptron 50%
• Experimental Result 25%
• Shortfall 25%
• Input Data 25%
• Attainment 25%
• Extracted Feature 25%
• State-of-the-Art Method 25%
• Deep Learning Method 25%
• Class Label 25%
• Gait Cycle 25%

Computer Science

• Convolutional Neural Network 100%
• Gait Recognition 100%
• Multilayer Perceptron 50%
• Gait Energy Image 50%
• Superior Performance 25%
• Deep Learning Model 25%
• Recognition Performance 25%
• Ensemble Method 25%
• Experimental Result 25%
• Extracted Feature 25%