Abstract: Efficient data compression is crucial for the storage and transmission of visual data. However, in facial expression recognition (FER) tasks, lossy compression often leads to feature ...
Abstract: In computer vision, neural network models typically require a large amount of manually annotated images or video data for training. To reduce annotation costs, self-supervised learning has ...