SAC²-Net uses semantic anchoring soft alignment and complementary-consensus fusion to report SOTA or competitive results on five MER benchmarks.
Mol: Joint estimation of micro-expression, opti- cal flow, and landmark via transformer-graph-style convolution.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025
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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.