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
Context-empowered Visual Attention Prediction in Pedestrian Scenarios—0
Saliency-based Multiple Region of Interest Detection from a Single 360° image—0
Dual Domain-Adversarial Learning for Audio-Visual Saliency Prediction—0
Rethinking gradient weights' influence over saliency map estimation—0
SiaTrans: Siamese Transformer Network for RGB-D Salient Object Detection with Depth Image Classification—0
Clustered Saliency Prediction—0
Dual Swin-Transformer based Mutual Interactive Network for RGB-D Salient Object Detection—0
Saliency in Augmented RealityCode0
Noise Perturbation for Saliency Prediction with Psychophysical Synthetic Images—0
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction—0
Reinforced Abstractive Summarization with Adaptive Length Controlling—0
Scanpath Prediction on Information Visualisations—0
Iterative Saliency Enhancement using Superpixel Similarity—0
A trained humanoid robot can perform human-like crossmodal social attention and conflict resolution—0
Audio-Visual Collaborative Representation Learning for Dynamic Saliency Prediction—0
Deriving Explanation of Deep Visual Saliency Models—0
Saliency for free: Saliency prediction as a side-effect of object recognition—0
SALYPATH: A Deep-Based Architecture for visual attention prediction—0
Energy-Based Generative Cooperative Saliency PredictionCode0
Noise-Aware Video Saliency PredictionCode0
Modeling Object Dissimilarity for Deep Saliency PredictionCode0
A Gated Fusion Network for Dynamic Saliency Prediction—0
Audiovisual Saliency Prediction in Uncategorized Video Sequences based on Audio-Video Correlation—0
Rethinking 360deg Image Visual Attention Modelling With Unsupervised Learning.Code0
Statistically Consistent Saliency Estimation—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