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 161170 of 268 papers

TitleStatusHype
DNA: Deeply-supervised Nonlinear Aggregation for Salient Object DetectionCode0
Fast Underwater Image Enhancement for Improved Visual PerceptionCode0
Ultrasound Image Representation Learning by Modeling Sonographer Visual Attention0
Understanding and Visualizing Deep Visual Saliency ModelsCode0
Contextual Encoder-Decoder Network for Visual Saliency PredictionCode0
Deep Reasoning with Multi-Scale Context for Salient Object Detection0
Salient Object Detection via High-to-Low Hierarchical Context Aggregation0
PiCANet: Pixel-wise Contextual Attention Learning for Accurate Saliency DetectionCode0
SUSiNet: See, Understand and Summarize it0
A Neurodynamic model of Saliency prediction in V1Code0
Show:102550
← PrevPage 17 of 27Next →

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