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 131–140 of 268 papers

TitleStatusHype
Distilling Localization for Self-Supervised Representation Learning—0
DSAL-GAN: Denoising based Saliency Prediction with Generative Adversarial Networks—0
DTFSal: Audio-Visual Dynamic Token Fusion for Video Saliency Prediction—0
Dual Domain-Adversarial Learning for Audio-Visual Saliency Prediction—0
Dual Swin-Transformer based Mutual Interactive Network for RGB-D Salient Object Detection—0
EditIQ: Automated Cinematic Editing of Static Wide-Angle Videos via Dialogue Interpretation and Saliency Cues—0
SALICON: Saliency in Context—0
Saliency-based Multiple Region of Interest Detection from a Single 360° image—0
Saliency Detection via Combining Region-Level and Pixel-Level Predictions with CNNs—0
Iterative Saliency Enhancement using Superpixel Similarity—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