3260 papers • 126 benchmarks • 313 datasets
Facial Micro-Expression Spotting is a challenging task in identifying onset, apex and/or offset over a short or long micro-expression sequence.
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A shallow optical flow three-stream CNN (SOFTNet) model is proposed to predict a score that captures the likelihood of a frame being in an expression interval by fashioning the spotting task as a regression problem and introducing pseudo-labeling to facilitate the learning process.
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