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 231240 of 268 papers

TitleStatusHype
Shallow and Deep Convolutional Networks for Saliency PredictionCode0
Progressive Attention Guided Recurrent Network for Salient Object DetectionCode0
Energy-Based Generative Cooperative Saliency PredictionCode0
Direction Concentration Learning: Enhancing Congruency in Machine LearningCode0
What Do Deep Saliency Models Learn about Visual Attention?Code0
Weakly-supervised Video Summarization using Variational Encoder-Decoder and Web PriorCode0
Simple vs complex temporal recurrences for video saliency predictionCode0
Rethinking 360deg Image Visual Attention Modelling With Unsupervised Learning.Code0
Dense and Low-Rank Gaussian CRFs Using Deep EmbeddingsCode0
Reverse Attention for Salient Object DetectionCode0
Show:102550
← PrevPage 24 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