# Visual Saliency Prediction on SALICON 2015 (val)

Source: [Visual Saliency Prediction on SALICON 2015 (val)](<https://www.sota2.com/research/sota/visual-saliency-prediction-on-salicon-2015-val>)

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

Data updated: 2026-02-26T05:38:04.323Z

Evaluation of Visual Saliency Prediction performance on the validation split of the SALICON 2015 dataset, reporting metrics like CC, sAUC, AUC, and NSS.

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 | Visual Saliency Prediction |
| Dataset (including any stated split) | SALICON 2015 (val) |
| Metric | CC |
| Unit | SCALAR |
| Direction | Higher is better |
| Results loaded | 5 of 5 |
| 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

- [CC](<https://www.sota2.com/research/sota/visual-saliency-prediction-on-salicon-2015-val.md?metric=CC>): Higher is better; unit: SCALAR.

- [sAUC](<https://www.sota2.com/research/sota/visual-saliency-prediction-on-salicon-2015-val.md?metric=sAUC>): Higher is better; unit: SCALAR.

- [AUC](<https://www.sota2.com/research/sota/visual-saliency-prediction-on-salicon-2015-val.md?metric=AUC>): Higher is better; unit: SCALAR.

- [NSS](<https://www.sota2.com/research/sota/visual-saliency-prediction-on-salicon-2015-val.md?metric=NSS>): Higher is better; unit: SCALAR.

## Recorded results

| Method | CC | Result date | Report paper |
| --- | --- | --- | --- |
| DINet | 0.867 | Not recorded | 68fa65c11e209131cea0c3cc |
| DINet | 0.862 | Not recorded | 68fa65c11e209131cea0c3cc |
| SAM-ResNet | 0.844 | Not recorded | 68fa65c11e209131cea0c3cc |
| DSCLSTM | 0.835 | Not recorded | 68fa65c11e209131cea0c3cc |
| DINet | 0.724 | Not recorded | 68fa65c11e209131cea0c3cc |

### DINet

CC: 0.867. Result ID: 698cc7748b517eb4331caea8.

[Reporting paper](<https://www.sota2.com/research/paper/68fa65c11e209131cea0c3cc.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65c11e209131cea0c3cc.md>)

[Implementation](<https://github.com/ysyscool/DINet>)

Recorded evaluation configuration: {"Loss Function":"TV distance"}. This record does not assert independent reproduction.

### DINet

CC: 0.862. Result ID: 698cc7748b517eb4331caeac.

[Reporting paper](<https://www.sota2.com/research/paper/68fa65c11e209131cea0c3cc.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65c11e209131cea0c3cc.md>)

[Implementation](<https://github.com/ysyscool/DINet>)

Recorded evaluation configuration: {"Ensemble Strategy":"ensemble NSS and TV distance"}. This record does not assert independent reproduction.

### SAM-ResNet

CC: 0.844. Result ID: 698cc7748b517eb4331caeaa.

[Reporting paper](<https://www.sota2.com/research/paper/68fa65c11e209131cea0c3cc.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64851e209131cea051f1.md>)

Recorded evaluation configuration: {"Backbone":"ResNet"}. This record does not assert independent reproduction.

### DSCLSTM

CC: 0.835. Result ID: 698cc7748b517eb4331caea9.

[Reporting paper](<https://www.sota2.com/research/paper/68fa65c11e209131cea0c3cc.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa62d41e209131ce9fb68f.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### DINet

CC: 0.724. Result ID: 698cc7748b517eb4331caeab.

[Reporting paper](<https://www.sota2.com/research/paper/68fa65c11e209131cea0c3cc.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65c11e209131cea0c3cc.md>)

[Implementation](<https://github.com/ysyscool/DINet>)

Recorded evaluation configuration: {"Loss Function":"NSS"}. This record does not assert independent reproduction.

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