We propose a supervised contrastive learning approach to address three different kinship recognition tracks (i.e., kinship verification, ... 2021 16th IEEE International Conference on Automatic Face ...

Many supervised learning-based facial expression recognition (FER) methods achieve good performance with the assistance of expression labels and a complex framework. However, there are inconsistent ...

Convolutional neural networks (CNNs) have achieved significant improvement for the task of facial expression recognition. However, current training still suffers from the inconsistent learning ...

Figure 3.Contrastive learning framework for unimodal recognition. (A) Pre-training stage: for a skeleton sequence, the embedding representation z is generated by the same encoder f and projection head ...

Download the datasets from their original source. Download the pre-trained weights of the image encoders in the weights/pretrained directory.; In cfg/train_bert.yml, set the paths for the data, ...

WAV2VEC, is a model for unsupervised pre-training for speech recognition by learning representations of raw audio developed by Facebook AI research. Final Words. Here in this article, we have ...

Contrastive learning tasks aim to learn a latent space in which embeddings of similar data samples are ... D., and Philbin, J. (2015). “Facenet: a unified embedding for face recognition and clustering ...