SOTAVerified

Facial Action Unit Detection

Facial action unit detection is the task of detecting action units from a video of a face - for example, lip tightening and cheek raising.

( Image credit: Self-supervised Representation Learning from Videos for Facial Action Unit Detection )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 21–30 of 96 papers

TitleStatusHype
Fighting over-fitting with quantization for learning deep neural networks on noisy labels—0
Multi-modal Facial Action Unit Detection with Large Pre-trained Models for the 5th Competition on Affective Behavior Analysis in-the-wild—0
Local Region Perception and Relationship Learning Combined with Feature Fusion for Facial Action Unit Detection—0
Self-supervised Facial Action Unit Detection with Region and Relation Learning—0
ReactioNet: Learning High-Order Facial Behavior from Universal Stimulus-Reaction by Dyadic Relation Reasoning—0
Biomechanics-Guided Facial Action Unit Detection Through Force Modeling—0
FAN-Trans: Online Knowledge Distillation for Facial Action Unit Detection—0
Facial Action Unit Detection and Intensity Estimation from Self-supervised Representation—0
Global-to-local Expression-aware Embeddings for Facial Action Unit Detection—0
Multimodal Channel-Mixing: Channel and Spatial Masked AutoEncoder on Facial Action Unit Detection—0
Show:102550
← PrevPage 3 of 10Next →

No leaderboard results yet.