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

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Showing 151–200 of 268 papers

TitleStatusHype
Learning to Explore Intrinsic Saliency for Stereoscopic Video—0
An Iterative and Cooperative Top-Down and Bottom-Up Inference Network for Salient Object Detection—0
DAVE: A Deep Audio-Visual Embedding for Dynamic Saliency PredictionCode0
How is Gaze Influenced by Image Transformations? Dataset and ModelCode1
Salient Object Detection in the Deep Learning Era: An In-Depth SurveyCode0
Saliency Prediction on Omnidirectional Images with Generative Adversarial Imitation Learning—0
Spatiotemporal Knowledge Distillation for Efficient Estimation of Aerial Video Saliency—0
A Dilated Inception Network for Visual Saliency PredictionCode0
DSAL-GAN: Denoising based Saliency Prediction with Generative Adversarial Networks—0
Multi-source weak supervision for saliency detectionCode0
DNA: Deeply-supervised Nonlinear Aggregation for Salient Object DetectionCode0
Fast Underwater Image Enhancement for Improved Visual PerceptionCode0
Ultrasound Image Representation Learning by Modeling Sonographer Visual Attention—0
Understanding and Visualizing Deep Visual Saliency ModelsCode0
Contextual Encoder-Decoder Network for Visual Saliency PredictionCode0
Deep Reasoning with Multi-Scale Context for Salient Object Detection—0
Salient Object Detection via High-to-Low Hierarchical Context Aggregation—0
PiCANet: Pixel-wise Contextual Attention Learning for Accurate Saliency DetectionCode0
SUSiNet: See, Understand and Summarize it—0
A Neurodynamic model of Saliency prediction in V1Code0
Model-guided Multi-path Knowledge Aggregation for Aerial Saliency Prediction—0
Visual Saliency Maps Can Apply to Facial Expression Recognition—0
Semantic and Contrast-Aware Saliency—0
Bottom-up Attention, Models of—0
Saliency Prediction in the Deep Learning Era: Successes, Limitations, and Future Challenges—0
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