Saliency Prediction On Mit300
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AUC-Judd
CC
KLD
NSS
SIM
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | AUC-Judd | CC | KLD | NSS | SIM | Paper Title | Repository |
|---|---|---|---|---|---|---|---|
| SUM | 0.913 | 0.768 | 0.563 | 2.839 | 0.63 | SUM: Saliency Unification through Mamba for Visual Attention Modeling | |
| TranSalNet | 0.8734 | 0.807 | 1.0141 | 2.4134 | 0.6895 | TranSalNet: Towards perceptually relevant visual saliency prediction |
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