Search Results for author:
Found 4 papers, 3 papers with code
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition
Current state-of-the-art few-shot learners focus on developing effective training procedures for feature representations, before using simple, e. g. nearest centroid, classifiers.
Ranked #6 on
Few-Shot Image Classification
on Meta-Dataset
cross-domain few-shot learning
Few-Shot Image Classification
Exploring Emotion Features and Fusion Strategies for Audio-Video Emotion Recognition
The audio-video based emotion recognition aims to classify a given video into basic emotions.
Facial Expression Recognition (FER)
Video Emotion Recognition
Frame attention networks for facial expression recognition in videos
The feature embedding module is a deep Convolutional Neural Network (CNN) which embeds face images into feature vectors.
Ranked #3 on
Facial Expression Recognition (FER)
on CK+
(Accuracy (7 emotion) metric)
Facial Expression Recognition
Facial Expression Recognition (FER)
Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition
Extensive experiments show that our RAN and region biased loss largely improve the performance of FER with occlusion and variant pose.
Ranked #1 on
Facial Expression Recognition (FER)
on SFEW
Facial Expression Recognition
Facial Expression Recognition (FER)
