However, subjectivity is inherent [32] as the face and its features and shapes are difficult to assess quantitatively [24] due to expression, ageing, facial modifications, image qualities and distractions. Therefore, the final decision is based on the description of similarities and differences and ...
paper proposes a self-supervised approach to learn universal facial representations from videos, that can trans- fer across a variety of facial analysis tasks such as Facial Attribute Recognition (FAR), Facial Expression Recognition (FER), DeepFake Detection (DFD), and L...
a. The surface of the front of the head from the top of the forehead to the base of the chin and from ear to ear. b. A person: We saw many new faces on the first day of classes. 2. A person's countenance: a happy face. 3. A contorted facial expression; a grimace: made a...
self-attention; facial expression recognition; convolutional neural networks; computer vision1. Introduction Facial Emotion Recognition (FER) is the task of identifying the emotion expressed by the facial expression of a person in a photo or video frame. FER is deeply connected to facial expression ...