# Driver Attention Prediction on DR(eye)VE (test)

Source: [Driver Attention Prediction on DR(eye)VE (test)](<https://www.sota2.com/research/sota/driver-attention-prediction-on-dr-eye-ve-test>)

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

Data updated: 2026-02-26T05:52:08.786Z

Evaluation of driver attention prediction models using the test split of the DR(eye)VE dataset, typically measured using KL divergence and correlation coefficients.

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 | Driver Attention Prediction |
| Dataset (including any stated split) | DR(eye)VE (test) |
| Metric | Mean KL Divergence |
| Unit | SCALAR |
| Direction | Lower is better |
| Results loaded | 2 of 2 |
| 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

- [Mean KL Divergence](<https://www.sota2.com/research/sota/driver-attention-prediction-on-dr-eye-ve-test.md?metric=Mean%20KL%20Divergence>): Lower is better; unit: SCALAR.

- [KL Divergence (95% CI)](<https://www.sota2.com/research/sota/driver-attention-prediction-on-dr-eye-ve-test.md?metric=KL%20Divergence%20(95%25%20CI)>): Lower is better; unit: SCALAR.

- [Mean Correlation Coefficient](<https://www.sota2.com/research/sota/driver-attention-prediction-on-dr-eye-ve-test.md?metric=Mean%20Correlation%20Coefficient>): Higher is better; unit: SCALAR.

- [Correlation Coefficient (95% CI)](<https://www.sota2.com/research/sota/driver-attention-prediction-on-dr-eye-ve-test.md?metric=Correlation%20Coefficient%20(95%25%20CI)>): Higher is better; unit: SCALAR.

## Recorded results

| Method | Mean KL Divergence | Result date | Report paper |
| --- | --- | --- | --- |
| HWS | 1.72 | Not recorded | 68fa651c1e209131cea08683 |
| DR(eye)VE | 1.76 | Not recorded | 68fa651c1e209131cea08683 |

### HWS

Mean KL Divergence: 1.72. Result ID: 698c9dc00b614d12cff1f804.

[Reporting paper](<https://www.sota2.com/research/paper/68fa651c1e209131cea08683.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa651c1e209131cea08683.md>)

Recorded evaluation configuration: {"Training":"fine-tuned"}. This record does not assert independent reproduction.

### DR(eye)VE

Mean KL Divergence: 1.76. Result ID: 698c9dc00b614d12cff1f803.

[Reporting paper](<https://www.sota2.com/research/paper/68fa651c1e209131cea08683.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa63531e209131ce9fe2b9.md>)

Recorded evaluation configuration: {"status":"State-of-the-art model"}. This record does not assert independent reproduction.

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