atlas

Research map / Probabilistic and scientific modeling / Causal discovery

Causal Intervention for Subject-Deconfounded Facial Action Unit Recognition

AAAI 2022 · Probabilistic and scientific modeling › Causal discovery · approach: Causal representation identifiability · 30 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add CIS to ResNet34 (ablation)AU recognition · BP4DF1-score: 3.7↑Helped
Add CIS to ResNet34 (ablation)AU recognition · DISFAF1-score: 7.3↑Helped
Add CIS to ResNet18 (ablation)AU recognition · BP4DF1-score: 3.9↑Helped
Add CIS to ResNet18 (ablation)AU recognition · DISFAF1-score: 6.2↑Helped
Add CIS to ResNet50 (ablation)AU recognition · BP4DF1-score: 2.3↑Helped
Add CIS to ResNet50 (ablation)AU recognition · DISFAF1-score: 8.8↑Helped
Increase the number of training subjects (ablation)CISNet and the baseline AU model · Same test dataF1-scoreHelped
Use CISNet instead of HMP-PSAU recognition · BP4DF1-score (Avg.): 0.9%Helped
Use CISNet instead of HMP-PSAU recognition · DISFAF1-score (Avg.): 61.0 -> 64.7Helped

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy