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 101–110 of 268 papers

TitleStatusHype
Graph-Based Visual Saliency—0
Co-Salient Object Detection With Uncertainty-Aware Group Exchange-Masking—0
Dual Swin-Transformer based Mutual Interactive Network for RGB-D Salient Object Detection—0
Half-CNN: A General Framework for Whole-Image Regression—0
Hallucinating Saliency Maps for Fine-Grained Image Classification for Limited Data Domains—0
HARF: Hierarchy-Associated Rich Features for Salient Object Detection—0
An Iterative and Cooperative Top-Down and Bottom-Up Inference Network for Salient Object Detection—0
Model-guided Multi-path Knowledge Aggregation for Aerial Saliency Prediction—0
Audio-visual Saliency for Omnidirectional Videos—0
Dual Domain-Adversarial Learning for Audio-Visual Saliency Prediction—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