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 151–175 of 364 papers

TitleStatusHype
Learning to Detect Instance-level Salient Objects Using Complementary Image Labels—0
Saliency detection with moving camera via background model completion—0
C^4Net: Contextual Compression and Complementary Combination Network for Salient Object Detection—0
Saliency Detection via Global Context Enhanced Feature Fusion and Edge Weighted Loss—0
Modality-Guided Subnetwork for Salient Object Detection—0
Learning Background Invariance Improves Generalization and Robustness in Self-Supervised Learning on ImageNet and Beyond—0
Reinforcement Learning Based Sparse Black-box Adversarial Attack on Video Recognition Models—0
Free Lunch for Co-Saliency Detection: Context Adjustment—0
Fristograms: Revealing and Exploiting Light Field Internals—0
Face Sketch Synthesis via Semantic-Driven Generative Adversarial Network—0
DeepACG: Co-Saliency Detection via Semantic-Aware Contrast Gromov-Wasserstein Distance—0
Bio-inspired visual attention for silicon retinas based on spiking neural networks applied to pattern classification—0
Temporal-Spatial Feature Pyramid for Video Saliency Detection—0
Characterizing and Improving the Robustness of Self-Supervised Learning through Background Augmentations—0
Generating Diversified Comments via Reader-Aware Topic Modeling and Saliency Detection—0
Towards Accurate RGB-D Saliency Detection with Complementary Attention and Adaptive Integration—0
Weakly-Supervised Saliency Detection via Salient Object Subitizing—0
Light Field Saliency Detection With Dual Local Graph Learning and Reciprocative Guidance—0
DUT-LFSaliency: Versatile Dataset and Light Field-to-RGB Saliency Detection—0
Trajectory saliency detection using consistency-oriented latent codes from a recurrent auto-encoder—0
EF-Net: A novel enhancement and fusion network for RGB-D saliency detectionCode0
AI Marker-based Large-scale AI Literature Mining—0
Fast and Accurate Light Field Saliency Detection through Deep Encoding—0
Weakly-supervised Salient Instance Detection—0
Co-Saliency Detection with Co-Attention Fully Convolutional Network—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