Micro-Expression Spotting
4 papers with code • 0 benchmarks • 1 datasets
Facial Micro-Expression Spotting is a challenging task in identifying onset, apex and/or offset over a short or long micro-expression sequence.
Benchmarks
These leaderboards are used to track progress in Micro-Expression Spotting
SAMM Long Videos
Most implemented papers
Spotting Macro- and Micro-expression Intervals in Long Video Sequences
Both macro- and micro-expression intervals in CAS(ME)$^2$ and SAMM Long Videos are spotted by employing the method of Main Directional Maximal Difference Analysis (MDMD).
Shallow Optical Flow Three-Stream CNN for Macro- and Micro-Expression Spotting from Long Videos
Facial expressions vary from the visible to the subtle.
AU-aware graph convolutional network for Macro- and Micro-expression spotting
Automatic Micro-Expression (ME) spotting in long videos is a crucial step in ME analysis but also a challenging task due to the short duration and low intensity of MEs.
RMES: Real-Time Micro-Expression Spotting Using Phase From Riesz Pyramid
In comparison to optical flow, phase provides more localized motion estimates, which are essential for ME spotting, resulting in higher performance.
