Exploring transfer learning approaches for head pose classification from multi-view surveillance images

Keyphrases

• Transfer Learning Model 100%
• Head Pose Classification 100%
• Surveillance Imaging 100%
• Transfer Learning 40%
• Target Image 40%
• Image Capture 40%
• Moving Person 40%
• Experimental Validation 20%
• Training Data 20%
• Perspective Shift 20%
• Head Pose 20%
• Facial Features 20%
• Classification Performance 20%
• Knowledge Transfer 20%
• Challenging Situation 20%
• Adaptation Approaches 20%
• Target Training 20%
• Domain Adaptation 20%
• Large Field of View 20%
• Data Labeling 20%
• Learning Solutions 20%
• Labeling Effort 20%

Computer Science

• Learning Approach 100%
• Transfer Learning 100%
• Image Capture 66%
• Benchmarking 33%
• Training Data 33%
• Classification Performance 33%
• Domain Adaptation 33%
• Challenging Situation 33%