LMAC-Net reports state-of-the-art Spearman correlations on the RG and Fis-V benchmarks by aligning attention centers across RGB, optical flow, and audio branches.
Fine-grained spatio-temporal parsing network for action quality assess- ment.IEEE Transactions on Image Processing, 32:6386–6400, 2023
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Attention-Driven Multimodal Alignment for Long-term Action Quality Assessment
LMAC-Net reports state-of-the-art Spearman correlations on the RG and Fis-V benchmarks by aligning attention centers across RGB, optical flow, and audio branches.