Papers › Multi-scale Dynamic and Hierarchical Relationship Modeling for Facial Action Units Recognition

Multi-scale Dynamic and Hierarchical Relationship Modeling for Facial Action Units Recognition

9 Apr 2024CVPR 2024 1arXiv:2404.06443archive 2025-07-28

Zihan Wang, Siyang Song, Cheng Luo, Songhe Deng, Weicheng Xie, Linlin Shen

Human facial action units (AUs) are mutually related in a hierarchical manner, as not only they are associated with each other in both spatial and temporal domains but also AUs located in the same/close facial regions show stronger relationships than those of different facial regions. While none of existing approach thoroughly model such hierarchical inter-dependencies among AUs, this paper proposes to comprehensively model multi-scale AU-related dynamic and hierarchical spatio-temporal relationship among AUs for their occurrences recognition. Specifically, we first propose a novel multi-scale temporal differencing network with an adaptive weighting block to explicitly capture facial dynamics across frames at different spatial scales, which specifically considers the heterogeneity of range and magnitude in different AUs' activation. Then, a two-stage strategy is introduced to hierarchically model the relationship among AUs based on their spatial distribution (i.e., local and cross-region AU relationship modelling). Experimental results achieved on BP4D and DISFA show that our approach is the new state-of-the-art in the field of AU occurrence recognition. Our code is publicly available at https://github.com/CVI-SZU/MDHR.

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CrossregionRelationshipModeling CVI-SZU/MDHR/model/model_BP4D.py official repository ran MIT (permissive) · 872bd82d86c15d7e · report
GATConv CVI-SZU/MDHR/model/model_BP4D.py official repository ran MIT (permissive) · b89b6e3462f78f9b · report
IndividualTemporalModeling CVI-SZU/MDHR/model/model_BP4D.py official repository ran · metamorphic tier: invariant MIT (permissive) · 849c5e640e9421b5 · report
LinearBlock CVI-SZU/MDHR/model/model_BP4D.py official repository ran · metamorphic tier: invariant MIT (permissive) · c315197e49c553ef · report
LocalRelationshipModeling CVI-SZU/MDHR/model/model_BP4D.py official repository ran · metamorphic tier: deterministic MIT (permissive) · b6dd090add917b37 · report
NodeClassifier CVI-SZU/MDHR/model/model_BP4D.py official repository ran · metamorphic tier: invariant MIT (permissive) · 673a8b5c8ea95100 · report
calculate_adjmask_bp4d CVI-SZU/MDHR/model/model_BP4D.py official repository ran · our draft was wrong fingerprinted MIT (permissive) · 32c158c8e6e94e62 · report
dec2bin CVI-SZU/MDHR/model/model_BP4D.py official repository ran · our draft was wrong MIT (permissive) · e88509f231bb3519 · report
get_pred_binary CVI-SZU/MDHR/model/model_BP4D.py official repository ran · our draft was wrong fingerprinted MIT (permissive) · a77e944b799b3d07 · report
MDHR CVI-SZU/MDHR/model/model_BP4D.py official repository unverified MIT (permissive) · 48b22121249d3a8e · report
MultiscaleFacialDynamic CVI-SZU/MDHR/model/model_BP4D.py official repository unverified MIT (permissive) · a8a95a66288959b1 · report

Tasks

Facial Action Unit Detection

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Facial Action Unit Detection BP4D MDHRD Average F1 66.6 #3 of 10 Archive leaderboard report
Facial Action Unit Detection DISFA MDHRM Average F1 66.2 #4 of 8 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

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