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 110 of 268 papers

TitleStatusHype
SUM: Saliency Unification through Mamba for Visual Attention ModelingCode2
BTS-Net: Bi-directional Transfer-and-Selection Network For RGB-D Salient Object DetectionCode1
AIM 2024 Challenge on Video Saliency Prediction: Methods and ResultsCode1
BASNet: Boundary-Aware Salient Object DetectionCode1
An Energy-Based Prior for Generative SaliencyCode1
Alignment-Free RGBT Salient Object Detection: Semantics-guided Asymmetric Correlation Network and A Unified BenchmarkCode1
ATSal: An Attention Based Architecture for Saliency Prediction in 360 VideosCode1
Adapting Segment Anything Model to Multi-modal Salient Object Detection with Semantic Feature Fusion GuidanceCode1
ViNet: Pushing the limits of Visual Modality for Audio-Visual Saliency PredictionCode1
Brand Visibility in Packaging: A Deep Learning Approach for Logo Detection, Saliency-Map Prediction, and Logo Placement AnalysisCode1
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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