SOTAVerified

Saliency Prediction

A saliency map is a model that predicts eye fixations on a visual scene. Saliency prediction is informed by the human visual attention mechanism and predicts the possibility of the human eyes to stay in a certain position in the scene.

Papers

Showing 121130 of 268 papers

TitleStatusHype
Learning Gaze Transitions From Depth to Improve Video Saliency Estimation0
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction0
Learning Saliency From Fixations0
Learning Saliency Prediction From Sparse Fixation Pixel Map0
Learning to Explore Intrinsic Saliency for Stereoscopic Video0
Learning to Predict Saliency on Face Images0
Personalization of Saliency Estimation0
DSAL-GAN: Denoising based Saliency Prediction with Generative Adversarial Networks0
Distilling Localization for Self-Supervised Representation Learning0
A Psychophysical Oriented Saliency Map Prediction Model0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TransalnetKL0.87Unverified
2TempSALKL0.71Unverified
3SSwin transformerKL0.65Unverified
4ECT-SALKL0.58Unverified
5SUMKL0.47Unverified
#ModelMetricClaimedVerifiedStatus
1SUMAUC0.88Unverified
2SalNAS-XL + Self-KDAUC0.87Unverified
3TempSALAUC0.87Unverified
4MDS-ViTNetAUC0.87Unverified
5TranSalNetAUC0.87Unverified
#ModelMetricClaimedVerifiedStatus
1SUMAUC-Judd0.91Unverified
2TranSalNetAUC-Judd0.87Unverified
#ModelMetricClaimedVerifiedStatus
1SUMKL0.27Unverified