Continuty - shallowwisdom/megc-notes GitHub Wiki
Challenge in 2025
Spot-then-Recognize (STR) Task
Website: Spot-then-Recognize (STR) Task
This challenge comes from Grand Challenges.
Training Databases:
- SAMM Long Videos
- CAS(ME)^2
- SMIC-E-long
- CAS(ME)^3
- 4DME
Unseen Dataset for STR:
- MEGC2025-testSet (same version as MEGC2023 Unseen dataset)
Baseline: Spot-then-recognize: A micro-expression analysis network for seamless evaluation of long videos. Signal Processing: Image Communication, Vol. 110, pp. 116875. (paper) (pdf) (GitHub link)
Challenge in 2024
Cross-Cultural Spotting (CCS) Task
Website: Cross-Cultural Spotting (CCS) Task
Training Databases:
- SAMM Long Videos
- CAS(ME)^2
- SMIC-E-long
- CAS(ME)^3
- 4DME
Unseen Test Dataset:
- MEGC2023-testSet
Baseline: Spatio-temporal fusion for macro-and micro-expression spotting in long video sequences. (paper) (pdf)
Spot-then-Recognize (STR) Task
Website: Spot-then-Recognize (STR) Task
Datasets:
- CAS(ME)^2
- SAMM Long Video
Baseline: Spot-then-recognize: A micro-expression analysis network for seamless evaluation of long videos. Signal Processing: Image Communication, Vol. 110, pp. 116875. (paper) (pdf) (GitHub link)
Challenge in 2023
ME and Macro-expression Spotting task
Website: ME and Macro-expression Spotting task
Training Databases:
- SAMM Long Videos
- CAS(ME)^2
- SMIC-E-long
- CAS(ME)^3
- 4DME
Unseen Test Dataset:
- MEGC2023-testSet
Baseline: Spatio-temporal fusion for macro-and micro-expression spotting in long video sequences. (paper) (pdf)
Challenge in 2022
ME and Macro-expression Spotting task
Website: ME and Macro-expression Spotting task
Training Databases:
- SAMM Long Videos
- CAS(ME)^2
- SMIC-E-long
Unseen Test Dataset:
- MEGC2022-testSet
Baseline: 3D-CNN for Facial Micro-and Macro-expression Spotting on Long Video Sequences using Temporal Oriented Reference Frame. (paper with pdf)
Challenge in 2021
Spotting Challenge
Website: Spotting Challenge Results
Datasets:
- CAS(ME)^2-cropped
- SAMM-LV
Challenges from 2018 to 2020
Website: Recent Advances and Challenges in Facial Micro-Expression Analysis