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
SalNet360: Saliency Maps for omni-directional images with CNN—0
SALYPATH: A Deep-Based Architecture for visual attention prediction—0
Scanpath Prediction on Information Visualisations—0
Self-explanatory Deep Salient Object Detection—0
Self-supervised Representation Learning for Ultrasound Video—0
Semantic and Contrast-Aware Saliency—0
Semantic Segmentation Enhanced Transformer Model for Human Attention Prediction—0
Separated Attention: An Improved Cycle GAN Based Under Water Image Enhancement Method—0
Shifting Focus with HCEye: Exploring the Dynamics of Visual Highlighting and Cognitive Load on User Attention and Saliency Prediction—0
SiaTrans: Siamese Transformer Network for RGB-D Salient Object Detection with Depth Image Classification—0
SKD: Keypoint Detection for Point Clouds using Saliency Estimation—0
Social Saliency Prediction—0
Spatiotemporal Knowledge Distillation for Efficient Estimation of Aerial Video Saliency—0
Spatio-Temporal Saliency Networks for Dynamic Saliency Prediction—0
Statistically Consistent Saliency Estimation—0
Supersaliency: A Novel Pipeline for Predicting Smooth Pursuit-Based Attention Improves Generalizability of Video Saliency—0
SUSiNet: See, Understand and Summarize it—0
Task-driven Webpage Saliency—0
Task Specific Visual Saliency Prediction with Memory Augmented Conditional Generative Adversarial Networks—0
Teaching AI to Teach: Leveraging Limited Human Salience Data Into Unlimited Saliency-Based Training—0
Text-Audio-Visual-conditioned Diffusion Model for Video Saliency Prediction—0
The Effect of Distortions on the Prediction of Visual Attention—0
Toward Improving the Evaluation of Visual Attention Models: a Crowdsourcing Approach—0
Training Deep Networks to be Spatially Sensitive—0
Transformer-based Video Saliency Prediction with High Temporal Dimension Decoding—0
Tumor Saliency Estimation for Breast Ultrasound Images via Breast Anatomy Modeling—0
Ubernet: Training a Universal Convolutional Neural Network for Low-, Mid-, and High-Level Vision Using Diverse Datasets and Limited Memory—0
Ultrasound Image Representation Learning by Modeling Sonographer Visual Attention—0
Understanding Low- and High-Level Contributions to Fixation Prediction—0
Noise Perturbation for Saliency Prediction with Psychophysical Synthetic Images—0
Unified Dynamic Scanpath Predictors Outperform Individually Trained Neural Models—0
UniST: Towards Unifying Saliency Transformer for Video Saliency Prediction and Detection—0
Unsupervised Video Object Segmentation using Motion Saliency-Guided Spatio-Temporal Propagation—0
ViDaS Video Depth-aware Saliency Network—0
Video Saliency Detection by 3D Convolutional Neural Networks—0
Visual Attention driven by Convolutional Features—0
Visual saliency detection: a Kalman filter based approach—0
Visual saliency estimation by integrating features using multiple kernel learning—0
Visual Saliency Maps Can Apply to Facial Expression Recognition—0
Visual Saliency Prediction Using a Mixture of Deep Neural Networks—0
Webpage Saliency Prediction with Two-stage Generative Adversarial Networks—0
Weighted Linear Discriminant Analysis based on Class Saliency Information—0
WEPSAM: Weakly Pre-Learnt Saliency Model—0
Where's YOUR focus: Personalized Attention—0
A Compact Deep Architecture for Real-time Saliency Prediction—0
Minimalistic Video Saliency Prediction via Efficient Decoder & Spatio Temporal Action Cues—0
Modeling Saliency Dataset Bias—0
MRGAN360: Multi-stage Recurrent Generative Adversarial Network for 360 Degree Image Saliency Prediction—0
Part Discovery from Partial Correspondence—0
Paying More Attention to Saliency: Image Captioning with Saliency and Context Attention—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