AI RESEARCH
PIDNet: Progressive Implicit Decouple Network for Multimodal Action Quality Assessment
arXiv CS.CV
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ArXi:2605.08945v1 Announce Type: new Action quality assessment (AQA) aims to automatically quantify the execution quality of human actions in videos and is valuable for applications such as competitive sports judging. In multimodal AQA, quality evidence from different modalities is heterogeneous, and quality cues evolve progressively over time. Existing methods often rely on coarse fusion or unified temporal modeling, which may blur modality-specific cues, preserve cross-modal redundancy, and weaken stage-specific quality evidence.