Video-based emotion recognition in the wild using deep transfer learning and score fusion

Keyphrases

• In the Wild 100%
• Video-based 100%
• Emotion Recognition in the Wild 100%
• Score Level Fusion 100%
• Deep Transfer Learning 100%
• First Impressions 33%
• Difficult Problem 33%
• Neural Network 33%
• Regression-based Method 33%
• Video Clips 33%
• Affective State 33%
• Occlusion 33%
• Visual Features 33%
• Background Noise 33%
• Facial Expression Recognition 33%
• Multimodal Approach 33%
• Video Modeling 33%
• Transfer Learning 33%
• Audio Features 33%
• Least Squares Regression 33%
• Deep Convolutional Neural Network (deep CNN) 33%
• ChaLearn 33%
• Face Illumination 33%
• Weighted Score Level Fusion 33%
• EmotiW Challenge 33%
• Audio Noise 33%
• Video Noise 33%
• Cluttered Background 33%
• Face Pose 33%
• Multimodal Recognition 33%
• Visual Descriptors 33%
• Large Variance 33%
• Recording Conditions 33%

Computer Science

• Least Squares Methods 100%
• Visual Feature 100%
• Transfer Learning 100%
• Expression Recognition 100%
• Deep Convolutional Neural Networks 100%
• Multimodal Approach 100%
• Deep Transfer Learning 100%
• Facial Expression 100%