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 61–70 of 268 papers

TitleStatusHype
Deeply-Supervised Recurrent Convolutional Neural Network for Saliency Detection—0
Deep Reasoning with Multi-Scale Context for Salient Object Detection—0
Audio-visual Saliency for Omnidirectional Videos—0
A model of saliency-based visual attention for rapid scene analysis—0
Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos—0
Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos—0
Attention for Robot Touch: Tactile Saliency Prediction for Robust Sim-to-Real Tactile Control—0
Explainable Saliency: Articulating Reasoning with Contextual Prioritization—0
Co-Salient Object Detection With Uncertainty-Aware Group Exchange-Masking—0
A Compact Deep Architecture for Real-time 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