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 91100 of 268 papers

TitleStatusHype
Teaching AI to Teach: Leveraging Limited Human Salience Data Into Unlimited Saliency-Based Training0
ViDaS Video Depth-aware Saliency Network0
A positive feedback method based on F-measure value for Salient Object DetectionCode0
MRGAN360: Multi-stage Recurrent Generative Adversarial Network for 360 Degree Image Saliency Prediction0
CASP-Net: Rethinking Video Saliency Prediction from an Audio-VisualConsistency Perceptual Perspective0
Deep Saliency Mapping for 3D Meshes and ApplicationsCode0
Semantic Segmentation Enhanced Transformer Model for Human Attention Prediction0
Co-Salient Object Detection With Uncertainty-Aware Group Exchange-Masking0
CASP-Net: Rethinking Video Saliency Prediction From an Audio-Visual Consistency Perceptual Perspective0
FBLNet: FeedBack Loop Network for Driver Attention Prediction0
Show:102550
← PrevPage 10 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