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 151160 of 268 papers

TitleStatusHype
SalNet360: Saliency Maps for omni-directional images with CNN0
SALYPATH: A Deep-Based Architecture for visual attention prediction0
Scanpath Prediction on Information Visualisations0
Self-explanatory Deep Salient Object Detection0
Self-supervised Representation Learning for Ultrasound Video0
Semantic and Contrast-Aware Saliency0
Semantic Segmentation Enhanced Transformer Model for Human Attention Prediction0
Separated Attention: An Improved Cycle GAN Based Under Water Image Enhancement Method0
Shifting Focus with HCEye: Exploring the Dynamics of Visual Highlighting and Cognitive Load on User Attention and Saliency Prediction0
SiaTrans: Siamese Transformer Network for RGB-D Salient Object Detection with Depth Image Classification0
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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