Papers › Graph-Based Visual Saliency
Graph-Based Visual Saliency
Jonathan Harel, Christof Koch, Pietro Perona
A new bottom-up visual saliency model, Graph-Based Visual Saliency (GBVS), is proposed. It consists of two steps: rst forming activation maps on certain feature channels, and then normalizing them in a way which highlights conspicuity and admits combination with other maps. The model is simple, and biologically plausible insofar as it is naturally parallelized. This model powerfully predicts human xations on 749 variations of 108 natural images, achieving 98% of the ROC area of a human-based control, whereas the classical algorithms of Itti & Koch ([2], [3], [4]) achieve only 84%.
Code
No code repository is listed for this paper in the archive or in Syntology's graph.
Code Syntology ran Syntology
Not run by Syntology. Nothing on this page verifies that the listed code works.
Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Video Saliency Detection | MSU Video Saliency Prediction | GBVS | AUC-J | 0.810 | #13 of 14 | Archive leaderboard | report |
| Video Saliency Detection | MSU Video Saliency Prediction | GBVS | CC | 0.572 | #13 of 14 | Archive leaderboard | report |
| Video Saliency Detection | MSU Video Saliency Prediction | GBVS | FPS | 1.93 | #13 of 14 | Archive leaderboard | report |
| Video Saliency Detection | MSU Video Saliency Prediction | GBVS | KLDiv | 0.709 | #13 of 14 | Archive leaderboard | report |
| Video Saliency Detection | MSU Video Saliency Prediction | GBVS | NSS | 1.33 | #13 of 14 | Archive leaderboard | report |
| Video Saliency Detection | MSU Video Saliency Prediction | GBVS | SIM | 0.546 | #13 of 14 | 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.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections