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 176–200 of 268 papers

TitleStatusHype
Benchmark 3D eye-tracking dataset for visual saliency prediction on stereoscopic 3D video—0
Audio-Visual Collaborative Representation Learning for Dynamic Saliency Prediction—0
Bottom-up Attention, Models of—0
Breast Anatomy Enriched Tumor Saliency Estimation—0
CaRDiff: Video Salient Object Ranking Chain of Thought Reasoning for Saliency Prediction with Diffusion—0
CASP: Consistency-aware Audio-induced Saliency Prediction Model for Omnidirectional Video—0
CASP-Net: Rethinking Video Saliency Prediction from an Audio-VisualConsistency Perceptual Perspective—0
CASP-Net: Rethinking Video Saliency Prediction From an Audio-Visual Consistency Perceptual Perspective—0
Clustered Saliency Prediction—0
Context-empowered Visual Attention Prediction in Pedestrian Scenarios—0
Context Proposals for Saliency Detection—0
Co-Salient Object Detection With Uncertainty-Aware Group Exchange-Masking—0
Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos—0
Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos—0
Deep, Dense, and Low-Rank Gaussian Conditional Random Fields—0
DeepFix: A Fully Convolutional Neural Network for predicting Human Eye Fixations—0
DeepGaze II: Reading fixations from deep features trained on object recognition—0
Deep Learning for Light Field Saliency Detection—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
Deep Saliency Models : The Quest For The Loss Function—0
Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective—0
DeepUSPS: Deep Robust Unsupervised Saliency Prediction With Self-Supervision—0
DeepUSPS: Deep Robust Unsupervised Saliency Prediction via Self-supervision—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