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

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

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

Data updated: 2026-03-19T07:44:50.734Z

Evaluation of Video-level Action/Human (A/H) Recognition performance on the development/validation split of the BAH dataset, measured using the MF1 metric.

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 (dev val) |
| Metric | MF1 |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 31 of 31 |
| 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-dev-val.md?metric=MF1>): Higher is better; unit: PERCENT.

## Recorded results

| Method | MF1 | Result date | Report paper |
| --- | --- | --- | --- |
| Multimodal Fusion Model | 85.38 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Multimodal Fusion Model with Prototype Head | 83.79 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Ensemble of Five Multimodal Fusion Models with Prototype Head | 83 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Ensemble of Five Multimodal Fusion Models | 81.94 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Multimodal Fusion Model | 81.77 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Multimodal Fusion Model | 80.79 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Multimodal Fusion Model | 79.89 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Multimodal Fusion Model | 79.89 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Multimodal Fusion Model | 78.35 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Multimodal Fusion Model | 78.07 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Multimodal Fusion Model | 77.91 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Multimodal Fusion Model | 77.37 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Multimodal Fusion Model | 76.1 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Fine-tuned EmotionTextClassifier | 69.28 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Fusion B (divergence) | 69.12 | Not recorded | 69bb82e30636e5bf4afc181b |
| Fine-tuned EmotionDistilRoBERTa | 68.54 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| TF-IDF | 68.3 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Multimodal Fusion Model | 68.08 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Fusion A (implicit) | 67.88 | Not recorded | 69bb82e30636e5bf4afc181b |
| EmotionWav2Vec2.0 + Mamba | 67.2 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Multimodal Fusion Model | 67.05 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Fusion C (combined) | 67 | Not recorded | 69bb82e30636e5bf4afc181b |
| TF-IDF | 65.56 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| EmotionEfficientNetB0 + Statistical Features | 65.29 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Multimodal Fusion Model | 65.29 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Fusion B (divergence) | 65.24 | Not recorded | 69bb82e30636e5bf4afc181b |
| Multimodal Fusion Model | 63.36 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Visual AUs (XGBoost) | 61.94 | Not recorded | 69bb82e30636e5bf4afc181b |
| VideoMAE | 61.71 | Not recorded | 69b78e6d0636e5bf4afbdb04 |
| Text BERT | 57.58 | Not recorded | 69bb82e30636e5bf4afc181b |
| Audio Wav2Vec (LSTM) | 52.18 | Not recorded | 69bb82e30636e5bf4afc181b |

### Multimodal Fusion Model

MF1: 85.38. Result ID: 69b7d37747f34ce9249ffd62.

[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 with Prototype Head

MF1: 83.79. Result ID: 69b7d37747f34ce9249ffd63.

[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: 83. Result ID: 69b7d37747f34ce9249ffd65.

[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: 81.94. Result ID: 69b7d37747f34ce9249ffd64.

[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: 81.77. Result ID: 69b7d37747f34ce9249ffd6b.

[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: 80.79. Result ID: 69b7d37747f34ce9249ffd5f.

[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: 79.89. Result ID: 69b7d37747f34ce9249ffd6c.

[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: 79.89. Result ID: 69b7d37747f34ce9249ffd6d.

[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: 78.35. Result ID: 69b7d37747f34ce9249ffd61.

[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.

### Multimodal Fusion Model

MF1: 78.07. Result ID: 69b7d37747f34ce9249ffd68.

[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: 77.91. Result ID: 69b7d37747f34ce9249ffd60.

[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: 77.37. Result ID: 69b7d37747f34ce9249ffd6a.

[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: 76.1. Result ID: 69b7d37747f34ce9249ffd6e.

[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.

### Fine-tuned EmotionTextClassifier

MF1: 69.28. Result ID: 69b7d37747f34ce9249ffd5d.

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

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

### Fusion B (divergence)

MF1: 69.12. Result ID: 69bba95547f34ce924a53c0b.

[Reporting paper](<https://www.sota2.com/research/paper/69bb82e30636e5bf4afc181b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69bb82e30636e5bf4afc181b.md>)

Recorded evaluation configuration: {"Modality":"Multimodal","Input Features":"windowed AUs","Fusion Strategy":"Divergence"}. This record does not assert independent reproduction.

### Fine-tuned EmotionDistilRoBERTa

MF1: 68.54. Result ID: 69b7d37747f34ce9249ffd5e.

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

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

### TF-IDF

MF1: 68.3. Result ID: 69b7d37747f34ce9249ffd5b.

[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

MF1: 68.08. Result ID: 69b7d37747f34ce9249ffd6f.

[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.

### Fusion A (implicit)

MF1: 67.88. Result ID: 69bba95547f34ce924a53c08.

[Reporting paper](<https://www.sota2.com/research/paper/69bb82e30636e5bf4afc181b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69bb82e30636e5bf4afc181b.md>)

Recorded evaluation configuration: {"Modality":"Multimodal","Input Features":"raw AUs","Fusion Strategy":"Implicit"}. This record does not assert independent reproduction.

### EmotionWav2Vec2.0 + Mamba

MF1: 67.2. Result ID: 69b7d37747f34ce9249ffd5a.

[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.

### Multimodal Fusion Model

MF1: 67.05. Result ID: 69b7d37747f34ce9249ffd69.

[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.

### Fusion C (combined)

MF1: 67. Result ID: 69bba95547f34ce924a53c0a.

[Reporting paper](<https://www.sota2.com/research/paper/69bb82e30636e5bf4afc181b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69bb82e30636e5bf4afc181b.md>)

Recorded evaluation configuration: {"Modality":"Multimodal","Input Features":"raw AUs","Fusion Strategy":"Combined"}. This record does not assert independent reproduction.

### TF-IDF

MF1: 65.56. Result ID: 69b7d37747f34ce9249ffd5c.

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

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

### EmotionEfficientNetB0 + Statistical Features

MF1: 65.29. Result ID: 69b7d37747f34ce9249ffd58.

[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.

### Multimodal Fusion Model

MF1: 65.29. Result ID: 69b7d37747f34ce9249ffd67.

[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.

### Fusion B (divergence)

MF1: 65.24. Result ID: 69bba95547f34ce924a53c09.

[Reporting paper](<https://www.sota2.com/research/paper/69bb82e30636e5bf4afc181b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69bb82e30636e5bf4afc181b.md>)

Recorded evaluation configuration: {"Modality":"Multimodal","Input Features":"raw AUs","Fusion Strategy":"Divergence"}. This record does not assert independent reproduction.

### Multimodal Fusion Model

MF1: 63.36. Result ID: 69b7d37747f34ce9249ffd66.

[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.

### Visual AUs (XGBoost)

MF1: 61.94. Result ID: 69bba95547f34ce924a53c05.

[Reporting paper](<https://www.sota2.com/research/paper/69bb82e30636e5bf4afc181b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6eb81e209131cea41c42.md>)

Recorded evaluation configuration: {"Modality":"Unimodal","Model":"XGBoost","Features":"Visual AUs"}. This record does not assert independent reproduction.

### VideoMAE

MF1: 61.71. Result ID: 69b7d37747f34ce9249ffd59.

[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.

### Text BERT

MF1: 57.58. Result ID: 69bba95547f34ce924a53c07.

[Reporting paper](<https://www.sota2.com/research/paper/69bb82e30636e5bf4afc181b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65c31e209131cea0c4ed.md>)

[Implementation](<https://github.com/google-research/bert>)

Recorded evaluation configuration: {"Modality":"Unimodal","Model":"BERT-base","Features":"Text"}. This record does not assert independent reproduction.

### Audio Wav2Vec (LSTM)

MF1: 52.18. Result ID: 69bba95547f34ce924a53c06.

[Reporting paper](<https://www.sota2.com/research/paper/69bb82e30636e5bf4afc181b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68891e209131cea1cc36.md>)

[Implementation](<https://github.com/pytorch/fairseq>)

Recorded evaluation configuration: {"Modality":"Unimodal","Model":"Wav2Vec 2.0 (LSTM)","Features":"Audio"}. This record does not assert independent reproduction.

Page 1 of 1. This is an index page, not the full collection.
