Hierarchical Vision Transformer with Channel Attention for RGB-D Image Segmentation

Keyphrases

• Image Segmentation 100%
• RGB Image 100%
• Channel Attention 100%
• RGB-D 100%
• Hierarchical Vision Transformer 100%
• Depth Image 75%
• Convolutional Neural Network 50%
• Feature Map 50%
• Swin 50%
• Downsampling 25%
• Experiment Results 25%
• Benchmark Dataset 25%
• Image Processing 25%
• Depth Information 25%
• Two-input 25%
• Edge Information 25%
• Design Images 25%
• Weight Matrix 25%
• Local Characteristics 25%
• Matrix multiplication 25%
• Multimodal Feature Extraction 25%
• Vision Transformer Model 25%
• Two-branch Network 25%
• Feature Correlation 25%
• Pixel Classification 25%
• Sampling Process 25%
• Image-based Model 25%
• Feature Dependency 25%

Computer Science

• Image Segmentation 100%
• RGB Image 100%
• Vision Transformer 100%
• RGB-D Image 100%
• Convolutional Neural Network 66%
• Feature Map 66%
• Sampling Process 66%
• Feature Extraction 33%
• Image Processing 33%
• Edge Information 33%
• Depth Information 33%
• Pixel Classification 33%
• Transformer Model 33%
• Matrix Multiplication 33%

Engineering

• RGB Image 100%
• RGB-D Image 100%
• Convolutional Neural Network 66%
• Sampling Process 66%
• Feature Extraction 33%
• Image Processing 33%
• Past Decade 33%
• Edge Information 33%
• Matrix Multiplication 33%