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

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Showing 81–90 of 268 papers

TitleStatusHype
Toward Better Understanding of Saliency Prediction in Augmented 360 Degree Videos—0
Human Detection and Tracking for Video Surveillance A Cognitive Science Approach—0
Hallucinating Saliency Maps for Fine-Grained Image Classification for Limited Data Domains—0
CASP-Net: Rethinking Video Saliency Prediction from an Audio-VisualConsistency Perceptual Perspective—0
HARF: Hierarchy-Associated Rich Features for Salient Object Detection—0
Emotional Attention: A Study of Image Sentiment and Visual Attention—0
EML-NET:An Expandable Multi-Layer NETwork for Saliency Prediction—0
Enhancing Saliency Prediction in Monitoring Tasks: The Role of Visual Highlights—0
Explainable Saliency: Articulating Reasoning with Contextual Prioritization—0
CASP: Consistency-aware Audio-induced Saliency Prediction Model for Omnidirectional Video—0
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All datasetsSALECISALICONMIT300CAT2000

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