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Found 4 papers, 3 papers with code
Multimodal Action Quality Assessment
To leverage multimodal information for AQA, i. e., RGB, optical flow and audio information, we propose a Progressive Adaptive Multimodal Fusion Network (PAMFN) that separately models modality-specific information and mixed-modality information.
Continual Action Assessment via Task-Consistent Score-Discriminative Feature Distribution Modeling
Our idea for modeling Continual-AQA is to sequentially learn a task-consistent score-discriminative feature distribution, in which the latent features express a strong correlation with the score labels regardless of the task or action types. From this perspective, we aim to mitigate the forgetting in Continual-AQA from two aspects.
Likert Scoring With Grade Decoupling for Long-Term Action Assessment
Long-term action quality assessment is a task of evaluating how well an action is performed, namely, estimating a quality score from a long video.
Ranked #1 on
Action Quality Assessment
on Rhythmic Gymnastic
Hybrid Dynamic-static Context-aware Attention Network for Action Assessment in Long Videos
However, most existing works focus only on video dynamic information (i. e., motion information) but ignore the specific postures that an athlete is performing in a video, which is important for action assessment in long videos.
Ranked #2 on
Action Quality Assessment
on Rhythmic Gymnastic
