Cluster-level pseudo-labelling for source-free cross-domain facial expression recognition. (arXiv:2210.05246v1 [cs.CV])

Automatically understanding emotions from visual data is a fundamental task
for human behaviour understanding. While models devised for Facial Expression
Recognition (FER) have demonstrated excellent performances on many datasets,
they often suffer from severe performance degradation when trained and tested
on different datasets due to domain shift. In addition, as face images are
considered highly sensitive data, the accessibility to large-scale datasets for
model training is often denied. In this work, we tackle the above-mentioned
problems by proposing the first …

arxiv cluster free labelling