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 211220 of 268 papers

TitleStatusHype
Personalization of Saliency Estimation0
Saliency Prediction for Mobile User Interfaces0
Saliency Pattern Detection by Ranking Structured TreesCode0
Understanding Low- and High-Level Contributions to Fixation Prediction0
Learning Gaze Transitions From Depth to Improve Video Saliency Estimation0
Dense and Low-Rank Gaussian CRFs Using Deep EmbeddingsCode0
Predicting Video Saliency with Object-to-Motion CNN and Two-layer Convolutional LSTMCode0
SalNet360: Saliency Maps for omni-directional images with CNN0
Human Detection and Tracking for Video Surveillance A Cognitive Science Approach0
Facial Expression Recognition using Visual Saliency and Deep Learning0
Show:102550
← PrevPage 22 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