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
Graph-Based Visual Saliency—0
Co-Salient Object Detection With Uncertainty-Aware Group Exchange-Masking—0
GreenSaliency: A Lightweight and Efficient Image Saliency Detection Method—0
Half-CNN: A General Framework for Whole-Image Regression—0
Hallucinating Saliency Maps for Fine-Grained Image Classification for Limited Data Domains—0
HARF: Hierarchy-Associated Rich Features for Salient Object Detection—0
Minimalistic Video Saliency Prediction via Efficient Decoder & Spatio Temporal Action Cues—0
EditIQ: Automated Cinematic Editing of Static Wide-Angle Videos via Dialogue Interpretation and Saliency Cues—0
Audio-visual Saliency for Omnidirectional Videos—0
How Many Bits Does it Take for a Stimulus to Be Salient?—0
Human Detection and Tracking for Video Surveillance A Cognitive Science Approach—0
FBLNet: FeedBack Loop Network for Driver Attention Prediction—0
ITSELF: Iterative Saliency Estimation fLexible Framework—0
Dual Swin-Transformer based Mutual Interactive Network for RGB-D Salient Object Detection—0
An Iterative and Cooperative Top-Down and Bottom-Up Inference Network for Salient Object Detection—0
Large-Scale Optimization of Hierarchical Features for Saliency Prediction in Natural Images—0
Dual Domain-Adversarial Learning for Audio-Visual Saliency Prediction—0
DTFSal: Audio-Visual Dynamic Token Fusion for Video Saliency Prediction—0
CaRDiff: Video Salient Object Ranking Chain of Thought Reasoning for Saliency Prediction with Diffusion—0
Modeling Saliency Dataset Bias—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
DSAL-GAN: Denoising based Saliency Prediction with Generative Adversarial Networks—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