JLInst: Boundary-Mask Joint Learning for Instance Segmentation

Keyphrases

• Binary Cross-entropy Loss 20%
• Boundary Information 20%
• Fair Comparison 20%
• Gaussian Weight 20%
• Instance Segmentation 100%
• Instance Segmentation Network 40%
• Joint Learning 100%
• Mask Estimation 20%
• Mask R-CNN 20%
• Object Boundary 40%
• Object Instance 20%
• Object Mask 40%
• Performance Improvement 20%
• Pixel Classification 20%
• Segmentation Framework 20%
• Segmentation Network 20%
• Segmentation Performance 20%
• Semantic Information 20%

Computer Science

• Convolutional Neural Network 14%
• Fair Comparison 14%
• Instance Segmentation 100%
• Network Segmentation 14%
• Object Boundary 28%
• Object Instance 14%
• Segmentation Performance 14%