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.
Hybrid dynamic-static context-aware attention network for action assessment in long videos
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
REJECT 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
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.