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 71–80 of 268 papers

TitleStatusHype
Salient Object Detection From Arbitrary ModalitiesCode0
Unified Dynamic Scanpath Predictors Outperform Individually Trained Neural Models—0
Shifting Focus with HCEye: Exploring the Dynamics of Visual Highlighting and Cognitive Load on User Attention and Saliency Prediction—0
How is Visual Attention Influenced by Text Guidance? Database and ModelCode0
Separated Attention: An Improved Cycle GAN Based Under Water Image Enhancement Method—0
SalFoM: Dynamic Saliency Prediction with Video Foundation Models—0
GreenSaliency: A Lightweight and Efficient Image Saliency Detection Method—0
Selective Attention-based Modulation for Continual LearningCode0
DiffGaze: A Diffusion Model for Continuous Gaze Sequence Generation on 360° Images—0
Learning User Embeddings from Human Gaze for Personalised Saliency Prediction—0
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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