Papers › TempSAL - Uncovering Temporal Information for Deep Saliency Prediction
TempSAL - Uncovering Temporal Information for Deep Saliency Prediction
Bahar Aydemir, Ludo Hoffstetter, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk
Deep saliency prediction algorithms complement the object recognition features, they typically rely on additional information such as scene context, semantic relationships, gaze direction, and object dissimilarity. However, none of these models consider the temporal nature of gaze shifts during image observation. We introduce a novel saliency prediction model that learns to output saliency maps in sequential time intervals by exploiting human temporal attention patterns. Our approach locally modulates the saliency predictions by combining the learned temporal maps. Our experiments show that our method outperforms the state-of-the-art models, including a multi-duration saliency model, on the SALICON benchmark and CodeCharts1k dataset. Our code is publicly available on GitHub.
Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Saliency Prediction | SALECI | TempSAL | KL | 0.712 | #4 of 5 | Archive leaderboard | report |
| Saliency Prediction | SALICON | TempSAL | AUC | 0.869 | #3 of 5 | Archive leaderboard | report |
| Saliency Prediction | SALICON | TempSAL | CC | 0.911 | #3 of 5 | Archive leaderboard | report |
| Saliency Prediction | SALICON | TempSAL | KLD | 0.195 | #3 of 5 | Archive leaderboard | report |
| Saliency Prediction | SALICON | TempSAL | NSS | 1.967 | #3 of 5 | Archive leaderboard | report |
| Saliency Prediction | SALICON | TempSAL | SIM | 0.800 | #3 of 5 | Archive leaderboard | report |
| Saliency Prediction | SALICON | TempSAL | sAUC | 0.745 | #3 of 5 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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