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 101–125 of 268 papers

TitleStatusHype
Modeling Object Dissimilarity for Deep Saliency PredictionCode0
Dense and Low-Rank Gaussian CRFs Using Deep EmbeddingsCode0
DeepVS: A Deep Learning Based Video Saliency Prediction ApproachCode0
Deep Visual Attention PredictionCode0
Beyond saliency: understanding convolutional neural networks from saliency prediction on layer-wise relevance propagationCode0
Deep Saliency Mapping for 3D Meshes and ApplicationsCode0
A Learning-Based Visual Saliency Fusion Model for High Dynamic Range Video (LBVS-HDR)Code0
Modeling Bottom-Up and Top-Down Attention with a Neurodynamic Model of V1Code0
Simple vs complex temporal recurrences for video saliency predictionCode0
Deep Reasoning with Multi-Scale Context for Salient Object Detection—0
Deeply-Supervised Recurrent Convolutional Neural Network for Saliency Detection—0
Benchmark 3D eye-tracking dataset for visual saliency prediction on stereoscopic 3D video—0
Deep Learning for Saliency Prediction in Natural Video—0
Learning Gaze Transitions from Depth to Improve Video Saliency Estimation—0
Deep Learning for Light Field Saliency Detection—0
An Element Sensitive Saliency Model with Position Prior Learning for Web Pages—0
Learning Category-level Shape Saliency via Deep Implicit Surface Networks—0
Large-Scale Optimization of Hierarchical Features for Saliency Prediction in Natural Images—0
Label Consistent Quadratic Surrogate Model for Visual Saliency Prediction—0
DeepGaze II: Reading fixations from deep features trained on object recognition—0
Learning Gaze Transitions From Depth to Improve Video Saliency Estimation—0
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction—0
Learning Saliency From Fixations—0
Learning Saliency Prediction From Sparse Fixation Pixel Map—0
ITSELF: Iterative Saliency Estimation fLexible Framework—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