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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–75 of 268 papers

TitleStatusHype
Benchmark 3D eye-tracking dataset for visual saliency prediction on stereoscopic 3D video—0
Deep Learning for Light Field Saliency Detection—0
An Element Sensitive Saliency Model with Position Prior Learning for Web Pages—0
DeepGaze II: Reading fixations from deep features trained on object recognition—0
DeepFix: A Fully Convolutional Neural Network for predicting Human Eye Fixations—0
Deep, Dense, and Low-Rank Gaussian Conditional Random Fields—0
Audiovisual Saliency Prediction in Uncategorized Video Sequences based on Audio-Video Correlation—0
A Modified Word Saliency-Based Adversarial Attack on Text Classification Models—0
A Hybrid Framework for Tumor Saliency Estimation—0
Deep Learning for Saliency Prediction in Natural Video—0
Deeply-Supervised Recurrent Convolutional Neural Network for Saliency Detection—0
Deep Reasoning with Multi-Scale Context for Salient Object Detection—0
Audio-visual Saliency for Omnidirectional Videos—0
A model of saliency-based visual attention for rapid scene analysis—0
Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos—0
Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos—0
Attention for Robot Touch: Tactile Saliency Prediction for Robust Sim-to-Real Tactile Control—0
Few-shot Personalized Saliency Prediction Based on Inter-personnel Gaze Patterns—0
Co-Salient Object Detection With Uncertainty-Aware Group Exchange-Masking—0
A Compact Deep Architecture for Real-time Saliency Prediction—0
A Locally Weighted Fixation Density-Based Metric for Assessing the Quality of Visual Saliency Predictions—0
A trained humanoid robot can perform human-like crossmodal social attention and conflict resolution—0
A Gated Fusion Network for Dynamic Saliency Prediction—0
Gaze Distribution Analysis and Saliency Prediction Across Age Groups—0
Context Proposals for Saliency Detection—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