# Video-level A/H Recognition on BAH (test)

Source: [Video-level A/H Recognition on BAH (test)](<https://www.sota2.com/research/sota/video-level-a-h-recognition-on-bah-test>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-03-19T07:44:50.751Z

Evaluation of Video-level A/H Recognition performance on the test split of the BAH dataset.

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 | Video-level A/H Recognition |
| Dataset (including any stated split) | BAH (test) |
| Metric | MF1 |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 36 of 36 |
| 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

- [MF1](<https://www.sota2.com/research/sota/video-level-a-h-recognition-on-bah-test.md?metric=MF1>): Higher is better; unit: PERCENT.

- [Average MF1](<https://www.sota2.com/research/sota/video-level-a-h-recognition-on-bah-test.md?metric=Average%20MF1>): Higher is better; unit: PERCENT.

- [Macro F1](<https://www.sota2.com/research/sota/video-level-a-h-recognition-on-bah-test.md?metric=Macro%20F1>): Higher is better; unit: PERCENT.

## Recorded results

| Method | MF1 | Result date | Report paper |
| --- | --- | --- | --- |
| Multimodal Fusion Model with Prototype Head | 82.72 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Ensemble of Five Multimodal Fusion Models with Prototype Head | 80.77 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Ensemble of Five Multimodal Fusion Models | 80.64 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Multimodal Fusion Model | 79.94 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Multimodal Fusion Model | 79.15 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Multimodal Fusion Model | 79 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Multimodal Fusion Model | 78.54 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Multimodal Fusion Model | 77.66 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Multimodal Fusion Model | 77.65 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Multimodal Fusion Model | 77.63 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Multimodal Fusion Model | 77.09 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Multimodal Fusion Model | 77.03 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Multimodal Fusion Model | 77.03 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| TF-IDF | 72.02 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Fine-tuned EmotionDistilRoBERTa | 71.49 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Multimodal Fusion Model | 71.44 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Ensemble of Five Multimodal Fusion Models with Prototype Head | 71.43 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Multimodal Fusion Model | 70.99 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| EmotionWav2Vec2.0 + Mamba | 70.87 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Fine-tuned EmotionTextClassifier | 70.72 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Multimodal Fusion Model | 70.41 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Ensemble of Five Multimodal Fusion Models | 70.17 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Multimodal Fusion Model | 68.32 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| TF-IDF | 67.75 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Multimodal Fusion Model with Prototype Head | 65.21 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| VideoMAE | 62.21 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Multimodal Fusion Model | 61.19 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| EmotionEfficientNetB0 + Statistical Features | 60.05 | Not recorded | 69b78e6d0636e5bf4afbdb04 |

### Multimodal Fusion Model with Prototype Head

MF1: 82.72. Result ID: 69b7d37747f34ce9249ffd7b.

[Reporting paper](<https://www.sota2.com/research/paper/69b78e6d0636e5bf4afbdb04.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69b78e6d0636e5bf4afbdb04.md>)

Recorded evaluation configuration: {"Modality":"Models IDs 1, 2, 3 and 7","Classifier":"Linear Layer"}. This record does not assert independent reproduction.

### Ensemble of Five Multimodal Fusion Models with Prototype Head

MF1: 80.77. Result ID: 69b7d37747f34ce9249ffd7d.

[Reporting paper](<https://www.sota2.com/research/paper/69b78e6d0636e5bf4afbdb04.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69b78e6d0636e5bf4afbdb04.md>)

Recorded evaluation configuration: {"Modality":"Models IDs 1, 2, 3 and 7","Classifier":"Linear Layer"}. This record does not assert independent reproduction.

### Ensemble of Five Multimodal Fusion Models

MF1: 80.64. Result ID: 69b7d37747f34ce9249ffd7c.

[Reporting paper](<https://www.sota2.com/research/paper/69b78e6d0636e5bf4afbdb04.md>)

Recorded evaluation configuration: {"Modality":"Models IDs 1, 2, 3 and 7","Classifier":"Linear Layer"}. This record does not assert independent reproduction.

### Multimodal Fusion Model

MF1: 79.94. Result ID: 69b7d37747f34ce9249ffd7a.

[Reporting paper](<https://www.sota2.com/research/paper/69b78e6d0636e5bf4afbdb04.md>)

Recorded evaluation configuration: {"Modality":"Models IDs 1, 2, 3 and 7","Classifier":"Linear Layer"}. This record does not assert independent reproduction.

### Multimodal Fusion Model

MF1: 79.15. Result ID: 69b7d37747f34ce9249ffd86.

[Reporting paper](<https://www.sota2.com/research/paper/69b78e6d0636e5bf4afbdb04.md>)

Recorded evaluation configuration: {"Modality":"Models IDs 1, 2 and 3","Classifier":"Linear Layer"}. This record does not assert independent reproduction.

### Multimodal Fusion Model

MF1: 79. Result ID: 69b7d37747f34ce9249ffd83.

[Reporting paper](<https://www.sota2.com/research/paper/69b78e6d0636e5bf4afbdb04.md>)

Recorded evaluation configuration: {"Modality":"Models IDs 2 and 7","Classifier":"Linear Layer"}. This record does not assert independent reproduction.

### Multimodal Fusion Model

MF1: 78.54. Result ID: 69b7d37747f34ce9249ffd78.

[Reporting paper](<https://www.sota2.com/research/paper/69b78e6d0636e5bf4afbdb04.md>)

Recorded evaluation configuration: {"Modality":"Models IDs 1, 2, 3 and 5","Classifier":"Linear Layer"}. This record does not assert independent reproduction.

### Multimodal Fusion Model

MF1: 77.66. Result ID: 69b7d37747f34ce9249ffd82.

[Reporting paper](<https://www.sota2.com/research/paper/69b78e6d0636e5bf4afbdb04.md>)

Recorded evaluation configuration: {"Modality":"Models IDs 2 and 3","Classifier":"Linear Layer"}. This record does not assert independent reproduction.

### Multimodal Fusion Model

MF1: 77.65. Result ID: 69b7d37747f34ce9249ffd85.

[Reporting paper](<https://www.sota2.com/research/paper/69b78e6d0636e5bf4afbdb04.md>)

Recorded evaluation configuration: {"Modality":"Models IDs 1, 2 and 7","Classifier":"Linear Layer"}. This record does not assert independent reproduction.

### Multimodal Fusion Model

MF1: 77.63. Result ID: 69b7d37747f34ce9249ffd84.

[Reporting paper](<https://www.sota2.com/research/paper/69b78e6d0636e5bf4afbdb04.md>)

Recorded evaluation configuration: {"Modality":"Models IDs 2, 3 and 7","Classifier":"Linear Layer"}. This record does not assert independent reproduction.

### Multimodal Fusion Model

MF1: 77.09. Result ID: 69b7d37747f34ce9249ffd80.

[Reporting paper](<https://www.sota2.com/research/paper/69b78e6d0636e5bf4afbdb04.md>)

Recorded evaluation configuration: {"Modality":"Models IDs 1 and 2","Classifier":"Linear Layer"}. This record does not assert independent reproduction.

### Multimodal Fusion Model

MF1: 77.03. Result ID: 69b7d37747f34ce9249ffd77.

[Reporting paper](<https://www.sota2.com/research/paper/69b78e6d0636e5bf4afbdb04.md>)

Recorded evaluation configuration: {"Modality":"Models IDs 1, 2, 3 and 4","Classifier":"Linear Layer"}. This record does not assert independent reproduction.

### Multimodal Fusion Model

MF1: 77.03. Result ID: 69b7d37747f34ce9249ffd79.

[Reporting paper](<https://www.sota2.com/research/paper/69b78e6d0636e5bf4afbdb04.md>)

Recorded evaluation configuration: {"Modality":"Models IDs 1, 2, 3 and 6","Classifier":"Linear Layer"}. This record does not assert independent reproduction.

### TF-IDF

MF1: 72.02. Result ID: 69b7d37747f34ce9249ffd74.

[Reporting paper](<https://www.sota2.com/research/paper/69b78e6d0636e5bf4afbdb04.md>)

Recorded evaluation configuration: {"Modality":"Text","Classifier":"CatBoost"}. This record does not assert independent reproduction.

### Fine-tuned EmotionDistilRoBERTa

MF1: 71.49. Result ID: 69b7d37747f34ce9249ffd76.

[Reporting paper](<https://www.sota2.com/research/paper/69b78e6d0636e5bf4afbdb04.md>)

Recorded evaluation configuration: {"Modality":"Text","Classifier":"MLP"}. This record does not assert independent reproduction.

### Multimodal Fusion Model

MF1: 71.44. Result ID: 69b7d37747f34ce9249ffd7e.

[Reporting paper](<https://www.sota2.com/research/paper/69b78e6d0636e5bf4afbdb04.md>)

Recorded evaluation configuration: {"Modality":"Models IDs 1 and 3","Classifier":"Linear Layer"}. This record does not assert independent reproduction.

### Ensemble of Five Multimodal Fusion Models with Prototype Head

MF1: 71.43. Result ID: 69b7d37747f34ce9249ffd8b.

[Reporting paper](<https://www.sota2.com/research/paper/69b78e6d0636e5bf4afbdb04.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69b78e6d0636e5bf4afbdb04.md>)

Recorded evaluation configuration: {"Modality":"Models IDs 1, 2, 3 and 7","Classifier":"Linear Layer"}. This record does not assert independent reproduction.

### Multimodal Fusion Model

MF1: 70.99. Result ID: 69b7d37747f34ce9249ffd81.

[Reporting paper](<https://www.sota2.com/research/paper/69b78e6d0636e5bf4afbdb04.md>)

Recorded evaluation configuration: {"Modality":"Models IDs 3 and 7","Classifier":"Linear Layer"}. This record does not assert independent reproduction.

### EmotionWav2Vec2.0 + Mamba

MF1: 70.87. Result ID: 69b7d37747f34ce9249ffd72.

[Reporting paper](<https://www.sota2.com/research/paper/69b78e6d0636e5bf4afbdb04.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70901e209131cea4bd56.md>)

[Implementation](<https://github.com/audeering/w2v2-how-to>)

Recorded evaluation configuration: {"Modality":"Audio","Classifier":"Linear Layer"}. This record does not assert independent reproduction.

### Fine-tuned EmotionTextClassifier

MF1: 70.72. Result ID: 69b7d37747f34ce9249ffd75.

[Reporting paper](<https://www.sota2.com/research/paper/69b78e6d0636e5bf4afbdb04.md>)

Recorded evaluation configuration: {"Modality":"Text","Classifier":"MLP"}. This record does not assert independent reproduction.

### Multimodal Fusion Model

MF1: 70.41. Result ID: 69b7d37747f34ce9249ffd87.

[Reporting paper](<https://www.sota2.com/research/paper/69b78e6d0636e5bf4afbdb04.md>)

Recorded evaluation configuration: {"Modality":"Models IDs 1, 3 and 7","Classifier":"Linear Layer"}. This record does not assert independent reproduction.

### Ensemble of Five Multimodal Fusion Models

MF1: 70.17. Result ID: 69b7d37747f34ce9249ffd8a.

[Reporting paper](<https://www.sota2.com/research/paper/69b78e6d0636e5bf4afbdb04.md>)

Recorded evaluation configuration: {"Modality":"Models IDs 1, 2, 3 and 7","Classifier":"Linear Layer"}. This record does not assert independent reproduction.

### Multimodal Fusion Model

MF1: 68.32. Result ID: 69b7d37747f34ce9249ffd88.

[Reporting paper](<https://www.sota2.com/research/paper/69b78e6d0636e5bf4afbdb04.md>)

Recorded evaluation configuration: {"Modality":"Models IDs 1, 2, 3 and 7","Classifier":"Linear Layer"}. This record does not assert independent reproduction.

### TF-IDF

MF1: 67.75. Result ID: 69b7d37747f34ce9249ffd73.

[Reporting paper](<https://www.sota2.com/research/paper/69b78e6d0636e5bf4afbdb04.md>)

Recorded evaluation configuration: {"Modality":"Text","Classifier":"Logistic Regression"}. This record does not assert independent reproduction.

### Multimodal Fusion Model with Prototype Head

MF1: 65.21. Result ID: 69b7d37747f34ce9249ffd89.

[Reporting paper](<https://www.sota2.com/research/paper/69b78e6d0636e5bf4afbdb04.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69b78e6d0636e5bf4afbdb04.md>)

Recorded evaluation configuration: {"Modality":"Models IDs 1, 2, 3 and 7","Classifier":"Linear Layer"}. This record does not assert independent reproduction.

### VideoMAE

MF1: 62.21. Result ID: 69b7d37747f34ce9249ffd71.

[Reporting paper](<https://www.sota2.com/research/paper/69b78e6d0636e5bf4afbdb04.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6da81e209131cea3b2fd.md>)

[Implementation](<https://github.com/MCG-NJU/VideoMAE>)

Recorded evaluation configuration: {"Modality":"Scene","Classifier":"Linear Layer"}. This record does not assert independent reproduction.

### Multimodal Fusion Model

MF1: 61.19. Result ID: 69b7d37747f34ce9249ffd7f.

[Reporting paper](<https://www.sota2.com/research/paper/69b78e6d0636e5bf4afbdb04.md>)

Recorded evaluation configuration: {"Modality":"Models IDs 1 and 7","Classifier":"Linear Layer"}. This record does not assert independent reproduction.

### EmotionEfficientNetB0 + Statistical Features

MF1: 60.05. Result ID: 69b7d37747f34ce9249ffd70.

[Reporting paper](<https://www.sota2.com/research/paper/69b78e6d0636e5bf4afbdb04.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa684f1e209131cea1b521.md>)

[Implementation](<https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet>)

Recorded evaluation configuration: {"Modality":"Face","Classifier":"MLP"}. This record does not assert independent reproduction.

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