# Emotional Recognition on EMER 7-class (test) Source: [Emotional Recognition on EMER 7-class (test)]() Collection index: [llms.txt]() Data updated: 2026-02-26T06:08:45.851Z Evaluation of Emotional Recognition performance on the test split of the EMER 7-class dataset, reporting Weighted Accuracy (WAR), Unweighted Accuracy (UAR), and 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 | Emotional Recognition | | Dataset (including any stated split) | EMER 7-class (test) | | Metric | Weighted Accuracy (WAR) | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 13 of 13 | | 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 - [Weighted Accuracy (WAR)](): Higher is better; unit: PERCENT. - [Unweighted Accuracy (UAR)](): Higher is better; unit: PERCENT. - [F1 Score](): Higher is better; unit: PERCENT. ## Recorded results | Method | Weighted Accuracy (WAR) | Result date | Report paper | | --- | --- | --- | --- | | EMERT | 33.92 | Not recorded | 6944dc19423ea42265729b6b | | NORM-TR | 33.72 | Not recorded | 6944dc19423ea42265729b6b | | TMT | 33.65 | Not recorded | 6944dc19423ea42265729b6b | | TAILOR | 33.39 | Not recorded | 6944dc19423ea42265729b6b | | LMF | 33.07 | Not recorded | 6944dc19423ea42265729b6b | | Self MM | 32.47 | Not recorded | 6944dc19423ea42265729b6b | | MulT | 31.96 | Not recorded | 6944dc19423ea42265729b6b | | MMIM | 31.71 | Not recorded | 6944dc19423ea42265729b6b | | C3D Transformer | 31.66 | Not recorded | 6944dc19423ea42265729b6b | | TMC | 31.28 | Not recorded | 6944dc19423ea42265729b6b | | ResNet LSTM | 31.18 | Not recorded | 6944dc19423ea42265729b6b | | MMA-DFER | 30.65 | Not recorded | 6944dc19423ea42265729b6b | | ResNet Transformer | 29.21 | Not recorded | 6944dc19423ea42265729b6b | ### EMERT Weighted Accuracy (WAR): 33.92. Result ID: 699830d35698665ec48c1905. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### NORM-TR Weighted Accuracy (WAR): 33.72. Result ID: 699830d35698665ec48c1904. [Reporting paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### TMT Weighted Accuracy (WAR): 33.65. Result ID: 699830d35698665ec48c1902. [Reporting paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### TAILOR Weighted Accuracy (WAR): 33.39. Result ID: 699830d35698665ec48c18fa. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### LMF Weighted Accuracy (WAR): 33.07. Result ID: 699830d35698665ec48c18fc. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### Self MM Weighted Accuracy (WAR): 32.47. Result ID: 699830d35698665ec48c1900. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### MulT Weighted Accuracy (WAR): 31.96. Result ID: 699830d35698665ec48c18fb. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### MMIM Weighted Accuracy (WAR): 31.71. Result ID: 699830d35698665ec48c1901. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### C3D Transformer Weighted Accuracy (WAR): 31.66. Result ID: 699830d35698665ec48c18ff. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### TMC Weighted Accuracy (WAR): 31.28. Result ID: 699830d35698665ec48c18f9. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### ResNet LSTM Weighted Accuracy (WAR): 31.18. Result ID: 699830d35698665ec48c18fd. [Reporting paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### MMA-DFER Weighted Accuracy (WAR): 30.65. Result ID: 699830d35698665ec48c1903. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### ResNet Transformer Weighted Accuracy (WAR): 29.21. Result ID: 699830d35698665ec48c18fe. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. Page 1 of 1. 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