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

Showing 26–50 of 268 papers

TitleStatusHype
Alignment-Free RGBT Salient Object Detection: Semantics-guided Asymmetric Correlation Network and A Unified BenchmarkCode1
MDS-ViTNet: Improving saliency prediction for Eye-Tracking with Vision TransformerCode1
Enhancing Saliency Prediction in Monitoring Tasks: The Role of Visual Highlights—0
Bridging the Gap Between Saliency Prediction and Image Quality AssessmentCode0
Salient Object Detection From Arbitrary ModalitiesCode0
Unified Dynamic Scanpath Predictors Outperform Individually Trained Neural Models—0
Shifting Focus with HCEye: Exploring the Dynamics of Visual Highlighting and Cognitive Load on User Attention and Saliency Prediction—0
Separated Attention: An Improved Cycle GAN Based Under Water Image Enhancement Method—0
How is Visual Attention Influenced by Text Guidance? Database and ModelCode0
SalFoM: Dynamic Saliency Prediction with Video Foundation Models—0
GreenSaliency: A Lightweight and Efficient Image Saliency Detection Method—0
Selective Attention-based Modulation for Continual LearningCode0
DiffGaze: A Diffusion Model for Continuous Gaze Sequence Generation on 360° Images—0
Learning User Embeddings from Human Gaze for Personalised Saliency Prediction—0
A Modified Word Saliency-Based Adversarial Attack on Text Classification Models—0
Brand Visibility in Packaging: A Deep Learning Approach for Logo Detection, Saliency-Map Prediction, and Logo Placement AnalysisCode1
DiffSal: Joint Audio and Video Learning for Diffusion Saliency Prediction—0
Transformer-based Video Saliency Prediction with High Temporal Dimension Decoding—0
Learning Saliency From Fixations—0
Audio-visual Saliency for Omnidirectional Videos—0
XAI-CLASS: Explanation-Enhanced Text Classification with Extremely Weak Supervision—0
What Do Deep Saliency Models Learn about Visual Attention?Code0
UniST: Towards Unifying Saliency Transformer for Video Saliency Prediction and Detection—0
Spherical Vision Transformer for 360-degree Video Saliency PredictionCode1
Attention for Robot Touch: Tactile Saliency Prediction for Robust Sim-to-Real Tactile Control—0
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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