Causal Intervention for Subject-Deconfounded Facial Action Unit Recognition

arXiv:2204.07935v2 Announce Type: replace
Abstract: Subject-invariant facial action unit (AU) recognition remains challenging for the reason that the data distribution varies among subjects. In this paper, we propose a causal inference framework for subject-invariant facial action unit recognition. To illustrate the causal effect existing in AU recognition task, we formulate the causalities among facial images, subjects, latent AU semantic relations, and estimated AU occurrence probabilities via a structural causal model. By constructing such a causal diagram, we clarify the causal …

abstract arxiv causal causal inference cs.cv data distribution framework inference paper reason recognition type