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 1–10 of 268 papers

TitleStatusHype
SUM: Saliency Unification through Mamba for Visual Attention ModelingCode2
Uncertainty Guided Refinement for Fine-Grained Salient Object DetectionCode1
Mesh Mamba: A Unified State Space Model for Saliency Prediction in Non-Textured and Textured MeshesCode1
AIM 2024 Challenge on Video Saliency Prediction: Methods and ResultsCode1
Data Augmentation via Latent Diffusion for Saliency PredictionCode1
Adapting Segment Anything Model to Multi-modal Salient Object Detection with Semantic Feature Fusion GuidanceCode1
Shap-Mix: Shapley Value Guided Mixing for Long-Tailed Skeleton Based Action RecognitionCode1
Alignment-Free RGBT Salient Object Detection: Semantics-guided Asymmetric Correlation Network and A Unified BenchmarkCode1
MDS-ViTNet: Improving saliency prediction for Eye-Tracking with Vision TransformerCode1
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
1TransalnetKL0.87—Unverified
2TempSALKL0.71—Unverified
3SSwin transformerKL0.65—Unverified
4ECT-SALKL0.58—Unverified
5SUMKL0.47—Unverified
#ModelMetricClaimedVerifiedStatus
1SUMAUC0.88—Unverified
2SalNAS-XL + Self-KDAUC0.87—Unverified
3TempSALAUC0.87—Unverified
4MDS-ViTNetAUC0.87—Unverified
5TranSalNetAUC0.87—Unverified
#ModelMetricClaimedVerifiedStatus
1SUMAUC-Judd0.91—Unverified
2TranSalNetAUC-Judd0.87—Unverified
#ModelMetricClaimedVerifiedStatus
1SUMKL0.27—Unverified