# Facial expression spotting on SAMM-LV Source: [Facial expression spotting on SAMM-LV]() Collection index: [llms.txt]() Data updated: 2026-04-14T08:04:14.931Z Evaluation of facial expression spotting performance using the SAMM-LV dataset, reporting MaE F1-score, ME F1-score, and Overall F1-score. A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | Facial expression spotting | | Dataset (including any stated split) | SAMM-LV | | Metric | ME F1-score | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 18 of 18 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [ME F1-score](): Higher is better; unit: PERCENT. - [MaE F1-score](): Higher is better; unit: PERCENT. - [Overall F1-score](): Higher is better; unit: PERCENT. ## Recorded results | Method | ME F1-score | Result date | Report paper | | --- | --- | --- | --- | | SpotFormer | 42.81 | Not recorded | 68fa74531e209131cea61188 | | Wang et al. | 28.66 | Not recorded | 68fa74531e209131cea61188 | | MULT | 27.7 | Not recorded | 68fa74531e209131cea61188 | | He | 21.62 | Not recorded | 68fa74531e209131cea61188 | | AUW-GCN | 19.84 | Not recorded | 68fa74531e209131cea61188 | | ABPN | 16.89 | Not recorded | 68fa74531e209131cea61188 | | SOFTNet | 15.2 | Not recorded | 68fa74531e209131cea61188 | | Zhang et al. | 13.31 | Not recorded | 68fa74531e209131cea61188 | | LSSNet | 13.1 | Not recorded | 68fa74531e209131cea61188 | | Concat-CNN | 11.55 | Not recorded | 68fa74531e209131cea61188 | | MESNet | 8.8 | Not recorded | 68fa74531e209131cea61188 | | MTSN | 8.78 | Not recorded | 68fa74531e209131cea61188 | | Verburg | 8.21 | Not recorded | 68fa74531e209131cea61188 | | 3D-CNN | 4.66 | Not recorded | 68fa74531e209131cea61188 | | MDMD | 3.64 | Not recorded | 68fa74531e209131cea61188 | ### SpotFormer ME F1-score: 42.81. Result ID: 69ddf4fc47f34ce924c53cce. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Method Category":"Deep-learning methods"}. This record does not assert independent reproduction. ### Wang et al. ME F1-score: 28.66. Result ID: 69ddf4fc47f34ce924c53cc1. [Reporting paper]() Recorded evaluation configuration: {"Method Category":"Traditional methods"}. This record does not assert independent reproduction. ### MULT ME F1-score: 27.7. Result ID: 69ddf4fc47f34ce924c53ccd. [Reporting paper]() Recorded evaluation configuration: {"Method Category":"Deep-learning methods"}. This record does not assert independent reproduction. ### He ME F1-score: 21.62. Result ID: 69ddf4fc47f34ce924c53cbf. [Reporting paper]() Recorded evaluation configuration: {"Method Category":"Traditional methods"}. This record does not assert independent reproduction. ### AUW-GCN ME F1-score: 19.84. Result ID: 69ddf4fc47f34ce924c53ccb. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Method Category":"Deep-learning methods"}. This record does not assert independent reproduction. ### ABPN ME F1-score: 16.89. Result ID: 69ddf4fc47f34ce924c53cca. [Reporting paper]() Recorded evaluation configuration: {"Method Category":"Deep-learning methods"}. This record does not assert independent reproduction. ### SOFTNet ME F1-score: 15.2. Result ID: 69ddf4fc47f34ce924c53cc5. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Method Category":"Deep-learning methods"}. This record does not assert independent reproduction. ### Zhang et al. ME F1-score: 13.31. Result ID: 69ddf4fc47f34ce924c53cbe. [Reporting paper]() Recorded evaluation configuration: {"Method Category":"Traditional methods"}. This record does not assert independent reproduction. ### LSSNet ME F1-score: 13.1. Result ID: 69ddf4fc47f34ce924c53cc8. [Reporting paper]() Recorded evaluation configuration: {"Method Category":"Deep-learning methods"}. This record does not assert independent reproduction. ### Concat-CNN ME F1-score: 11.55. Result ID: 69ddf4fc47f34ce924c53cc7. [Reporting paper]() Recorded evaluation configuration: {"Method Category":"Deep-learning methods"}. This record does not assert independent reproduction. ### MESNet ME F1-score: 8.8. Result ID: 69ddf4fc47f34ce924c53cc4. [Reporting paper]() Recorded evaluation configuration: {"Method Category":"Deep-learning methods"}. This record does not assert independent reproduction. ### MTSN ME F1-score: 8.78. Result ID: 69ddf4fc47f34ce924c53cc9. [Reporting paper]() Recorded evaluation configuration: {"Method Category":"Deep-learning methods"}. This record does not assert independent reproduction. ### Verburg ME F1-score: 8.21. Result ID: 69ddf4fc47f34ce924c53cc2. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Method Category":"Deep-learning methods"}. This record does not assert independent reproduction. ### 3D-CNN ME F1-score: 4.66. Result ID: 69ddf4fc47f34ce924c53cc6. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Method Category":"Deep-learning methods"}. This record does not assert independent reproduction. ### MDMD ME F1-score: 3.64. Result ID: 69ddf4fc47f34ce924c53cbd. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Method Category":"Traditional methods"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.