SOTAVerified

Saliency Detection

Saliency Detection is a preprocessing step in computer vision which aims at finding salient objects in an image.

Source: An Unsupervised Game-Theoretic Approach to Saliency Detection

Papers

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Showing 176–200 of 364 papers

TitleStatusHype
Co-Saliency Detection with Co-Attention Fully Convolutional Network—0
Co-salient Object Detection Based on Deep Saliency Networks and Seed Propagation over an Integrated Graph—0
Co-Salient Object Detection With Uncertainty-Aware Group Exchange-Masking—0
CosalPure: Learning Concept from Group Images for Robust Co-Saliency Detection—0
Crowd Saliency Detection via Global Similarity Structure—0
Decoding Brain Representations by Multimodal Learning of Neural Activity and Visual Features—0
DeepACG: Co-Saliency Detection via Semantic-Aware Contrast Gromov-Wasserstein Distance—0
Deep Learning for Light Field Saliency Detection—0
Deep Learning for Object Saliency Detection and Image Segmentation—0
Deep Level Sets for Salient Object Detection—0
Deeply-Supervised Recurrent Convolutional Neural Network for Saliency Detection—0
Deep Networks for Saliency Detection via Local Estimation and Global Search—0
Deep Reasoning with Multi-Scale Context for Salient Object Detection—0
DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection—0
Deep saliency: What is learnt by a deep network about saliency?—0
Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective—0
DeepUSPS: Deep Robust Unsupervised Saliency Prediction via Self-supervision—0
Detect Globally, Refine Locally: A Novel Approach to Saliency Detection—0
Contrast-weighted Dictionary Learning Based Saliency Detection for Remote Sensing Images—0
Disentangle Saliency Detection into Cascaded Detail Modeling and Body Filling—0
DSAL-GAN: Denoising based Saliency Prediction with Generative Adversarial Networks—0
DUT-LFSaliency: Versatile Dataset and Light Field-to-RGB Saliency Detection—0
Edge Preserving and Multi-Scale Contextual Neural Network for Salient Object Detection—0
Encoding Based Saliency Detection for Videos and Images—0
Enhancing Protein Predictive Models via Proteins Data Augmentation: A Benchmark and New Directions—0
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All datasetsDUT-OMRONHKU-ISCAT2000DUTS-testECSSDPASCAL ContextPASCAL-S

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UCFMAE0.12—Unverified
2U2-Net+MAE0.06—Unverified
3U2-NetMAE0.05—Unverified
4LDF(ours)MAE0.05—Unverified
5Pyramid Feature AttentionMAE0.04—Unverified
#ModelMetricClaimedVerifiedStatus
1U2-Net+MAE0.04—Unverified
2Pyramid Feature AttentionMAE0.03—Unverified
3LDF(ours)MAE0.03—Unverified
#ModelMetricClaimedVerifiedStatus
1SUMAUC0.89—Unverified
2EYMOLAUC0.83—Unverified
#ModelMetricClaimedVerifiedStatus
1Pyramid Feature AttentionMAE0.04—Unverified
2PFAN [zhao2019pyramid] (+) PRNMAE0.04—Unverified
#ModelMetricClaimedVerifiedStatus
1Pyramid Feature AttentionMAE0.03—Unverified
#ModelMetricClaimedVerifiedStatus
1InvPTmax_F184.81—Unverified
#ModelMetricClaimedVerifiedStatus
1Pyramid Feature AttentionMAE0.07—Unverified