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
Unsupervised Video Object Segmentation using Motion Saliency-Guided Spatio-Temporal Propagation—0
Learning Saliency Prediction From Sparse Fixation Pixel Map—0
DeepVS: A Deep Learning Based Video Saliency Prediction ApproachCode0
Weakly-supervised Video Summarization using Variational Encoder-Decoder and Web PriorCode0
Task-driven Webpage Saliency—0
Temporal Saliency Adaptation in Egocentric VideosCode0
Reverse Attention for Salient Object DetectionCode0
Visual Attention driven by Convolutional Features—0
Video Saliency Detection by 3D Convolutional Neural Networks—0
A Hybrid Framework for Tumor Saliency Estimation—0
Context Proposals for Saliency Detection—0
Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos—0
Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos—0
Emotional Attention: A Study of Image Sentiment and Visual Attention—0
Progressive Attention Guided Recurrent Network for Salient Object DetectionCode0
Webpage Saliency Prediction with Two-stage Generative Adversarial Networks—0
EML-NET:An Expandable Multi-Layer NETwork for Saliency Prediction—0
An Element Sensitive Saliency Model with Position Prior Learning for Web Pages—0
Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human ParsingCode0
End-to-End Saliency Mapping via Probability Distribution PredictionCode0
Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective—0
Predicting Gaze in Egocentric Video by Learning Task-dependent Attention TransitionCode0
Salient Region Segmentation—0
Benchmark 3D eye-tracking dataset for visual saliency prediction on stereoscopic 3D video—0
A Learning-Based Visual Saliency Prediction Model for Stereoscopic 3D Video (LBVS-3D)Code0
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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