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 131140 of 268 papers

TitleStatusHype
Toward Improving the Evaluation of Visual Attention Models: a Crowdsourcing Approach0
Simultaneous Enhancement and Super-Resolution of Underwater Imagery for Improved Visual PerceptionCode1
STAViS: Spatio-Temporal AudioVisual Saliency NetworkCode1
Video Saliency Prediction Using Enhanced Spatiotemporal Alignment NetworkCode1
Direction Concentration Learning: Enhancing Congruency in Machine LearningCode0
Toward Better Understanding of Saliency Prediction in Augmented 360 Degree Videos0
SKD: Keypoint Detection for Point Clouds using Saliency Estimation0
DeepUSPS: Deep Robust Unsupervised Saliency Prediction via Self-supervision0
Looking at the right stuff: Guided semantic-gaze for autonomous driving0
Modeling Bottom-Up and Top-Down Attention with a Neurodynamic Model of V1Code0
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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