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 31–40 of 268 papers

TitleStatusHype
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
A Modified Word Saliency-Based Adversarial Attack on Text Classification Models—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