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 2130 of 268 papers

TitleStatusHype
How Does Audio Influence Visual Attention in Omnidirectional Videos? Database and ModelCode0
Exploiting Change Blindness for Video Coding: Perspectives from a Less Promising User Study0
SalNAS: Efficient Saliency-prediction Neural Architecture Search with self-knowledge distillationCode0
Shap-Mix: Shapley Value Guided Mixing for Long-Tailed Skeleton Based Action RecognitionCode1
SUM: Saliency Unification through Mamba for Visual Attention ModelingCode2
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
Enhancing Saliency Prediction in Monitoring Tasks: The Role of Visual Highlights0
Bridging the Gap Between Saliency Prediction and Image Quality AssessmentCode0
Salient Object Detection From Arbitrary ModalitiesCode0
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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