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 211220 of 268 papers

TitleStatusHype
How Does Audio Influence Visual Attention in Omnidirectional Videos? Database and ModelCode0
Understanding and Visualizing Deep Visual Saliency ModelsCode0
Modeling Bottom-Up and Top-Down Attention with a Neurodynamic Model of V1Code0
Modeling Object Dissimilarity for Deep Saliency PredictionCode0
Textured Mesh Saliency: Bridging Geometry and Texture for Human Perception in 3D GraphicsCode0
Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human ParsingCode0
Multi-source weak supervision for saliency detectionCode0
Gravitational Laws of Focus of AttentionCode0
Noise-Aware Video Saliency PredictionCode0
FixaTons: A collection of Human Fixations Datasets and Metrics for Scanpath SimilarityCode0
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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