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
Alignment-Free RGBT Salient Object Detection: Semantics-guided Asymmetric Correlation Network and A Unified BenchmarkCode1
GASP: Gated Attention For Saliency PredictionCode1
Learning to Predict Salient Faces: A Novel Visual-Audio Saliency ModelCode1
ATSal: An Attention Based Architecture for Saliency Prediction in 360 VideosCode1
MaskSplit: Self-supervised Meta-learning for Few-shot Semantic SegmentationCode1
MDS-ViTNet: Improving saliency prediction for Eye-Tracking with Vision TransformerCode1
n-Reference Transfer Learning for Saliency PredictionCode1
ViNet: Pushing the limits of Visual Modality for Audio-Visual Saliency PredictionCode1
BASNet: Boundary-Aware Salient Object DetectionCode1
Learning From Pixel-Level Noisy Label: A New Perspective for Light Field Saliency DetectionCode1
Show:102550
← PrevPage 3 of 27Next →

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