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 1–10 of 268 papers

TitleStatusHype
CASE: Contrastive Activation for Saliency EstimationCode0
CSPENet: Contour-Aware and Saliency Priors Embedding Network for Infrared Small Target DetectionCode0
Modeling Saliency Dataset Bias—0
LMME3DHF: Benchmarking and Evaluating Multimodal 3D Human Face Generation with LMMs—0
Text-Audio-Visual-conditioned Diffusion Model for Video Saliency Prediction—0
DTFSal: Audio-Visual Dynamic Token Fusion for Video Saliency Prediction—0
Uncertainty Guided Refinement for Fine-Grained Salient Object DetectionCode1
Mesh Mamba: A Unified State Space Model for Saliency Prediction in Non-Textured and Textured MeshesCode1
A Deep Learning Framework for Visual Attention Prediction and Analysis of News InterfacesCode0
EditIQ: Automated Cinematic Editing of Static Wide-Angle Videos via Dialogue Interpretation and Saliency Cues—0
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All datasetsSALECISALICONMIT300CAT2000

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SUMKL0.27—Unverified