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 5160 of 268 papers

TitleStatusHype
Benchmark 3D eye-tracking dataset for visual saliency prediction on stereoscopic 3D video0
Deep Learning for Light Field Saliency Detection0
An Element Sensitive Saliency Model with Position Prior Learning for Web Pages0
DeepGaze II: Reading fixations from deep features trained on object recognition0
DeepFix: A Fully Convolutional Neural Network for predicting Human Eye Fixations0
Deep, Dense, and Low-Rank Gaussian Conditional Random Fields0
Audiovisual Saliency Prediction in Uncategorized Video Sequences based on Audio-Video Correlation0
A Modified Word Saliency-Based Adversarial Attack on Text Classification Models0
A Hybrid Framework for Tumor Saliency Estimation0
Audio-visual Saliency for Omnidirectional Videos0
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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