SAC²-Net uses semantic anchoring soft alignment and complementary-consensus fusion to report SOTA or competitive results on five MER benchmarks.
Mfdan: Multi-level flow-driven attention net- work for micro-expression recognition.IEEE Transactions on Circuits and Systems for Video Technology, 34(12):12823–12836, 2024
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
SAC$^2$-Net: Semantic Anchoring and Complementary-Consensus Fusion for Multimodal Micro-Expression Recognition
SAC²-Net uses semantic anchoring soft alignment and complementary-consensus fusion to report SOTA or competitive results on five MER benchmarks.