Global-and-local context network for semantic segmentation of street view images

Keyphrases

• Street View Images 100%
• Network Architecture 100%
• Semantic Segmentation 100%
• Local Context 100%
• Multi-scale Context Information 100%
• Context-aware Network 100%
• Global Context Information 100%
• Local Networks 100%
• Feature Map 50%
• Segmentation Method 50%
• Existing State 50%
• Scene Understanding 50%
• Local Contextual Information 50%
• Relations between Objects 50%
• State-of-the-art Techniques 50%
• Single Network 50%
• Test Accuracy 50%
• Segmentation Error 50%
• Network Framework 50%
• Pixel Classification 50%
• Cityscape 50%
• Fully Convolutional Network 50%
• Global Spatial Information 50%
• Channel Attention Module 50%
• Autonomous Vehicle Systems 50%
• Low-level Features 50%

Computer Science

• Image Segmentation 100%
• Context Information 100%
• Network Architecture 66%
• Local Network 66%
• Experimental Result 33%
• Segmentation Process 33%
• Single Network 33%
• Spatial Information 33%
• Scene Understanding 33%
• Autonomous Vehicles 33%
• Global Context 33%
• Contextual Information 33%
• Feature Map 33%
• Fully Convolutional Network 33%