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 181190 of 268 papers

TitleStatusHype
Unified Dynamic Scanpath Predictors Outperform Individually Trained Neural Models0
UniST: Towards Unifying Saliency Transformer for Video Saliency Prediction and Detection0
Unsupervised Video Object Segmentation using Motion Saliency-Guided Spatio-Temporal Propagation0
ViDaS Video Depth-aware Saliency Network0
Video Saliency Detection by 3D Convolutional Neural Networks0
Visual Attention driven by Convolutional Features0
Visual saliency detection: a Kalman filter based approach0
Visual saliency estimation by integrating features using multiple kernel learning0
Visual Saliency Maps Can Apply to Facial Expression Recognition0
Visual Saliency Prediction Using a Mixture of Deep Neural Networks0
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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