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 201–250 of 364 papers

TitleStatusHype
Time-Series Anomaly Detection Service at MicrosoftCode1
Gravitational Laws of Focus of AttentionCode0
Learning to Explore Intrinsic Saliency for Stereoscopic Video—0
Orthogonal Decomposition Network for Pixel-Wise Binary Classification—0
Co-Saliency Detection via Mask-Guided Fully Convolutional Networks With Multi-Scale Label Smoothing—0
A Mutual Learning Method for Salient Object Detection With Intertwined Multi-SupervisionCode0
DeepCO3: Deep Instance Co-Segmentation by Co-Peak Search and Co-Saliency DetectionCode0
Saliency detection based on structural dissimilarity induced by image quality assessment modelCode0
RGB-T Image Saliency Detection via Collaborative Graph LearningCode1
Synthetic Defocus and Look-Ahead Autofocus for Casual Videography—0
DSAL-GAN: Denoising based Saliency Prediction with Generative Adversarial Networks—0
Multi-source weak supervision for saliency detectionCode0
Pyramid Feature Attention Network for Saliency detectionCode1
Salient object detection on hyperspectral images using features learned from unsupervised segmentation taskCode0
Object Discovery From a Single Unlabeled Image by Mining Frequent Itemset With Multi-scale FeaturesCode0
Saliency detection for seismic applications using multi-dimensional spectral projections and directional comparisons—0
Deep Reasoning with Multi-Scale Context for Salient Object Detection—0
Salient Object Detection with Lossless Feature Reflection and Weighted Structural Loss—0
Light-weighted Saliency Detection with Distinctively Lower Memory Cost and Model Size—0
Unsupervised uncertainty estimation using spatiotemporal cues in video saliency detection—0
PiCANet: Pixel-wise Contextual Attention Learning for Accurate Saliency DetectionCode0
Improving Landmark Recognition using Saliency detection and Feature classificationCode0
Quality-Aware Multimodal Saliency Detection via Deep Reinforcement Learning—0
Global and Local Sensitivity Guided Key Salient Object Re-augmentation for Video Saliency Detection—0
HSCS: Hierarchical Sparsity Based Co-saliency Detection for RGBD Images—0
Decoding Brain Representations by Multimodal Learning of Neural Activity and Visual Features—0
Salient Object Detection in Video using Deep Non-Local Neural Networks—0
Sanity Checks for Saliency MapsCode1
SG-FCN: A Motion and Memory-Based Deep Learning Model for Video Saliency Detection—0
Video Smoke Detection Based on Deep Saliency Network—0
Saliency Detection in 360° Videos—0
Task-driven Webpage Saliency—0
Unsupervised CNN-based Co-Saliency Detection with Graphical Optimization—0
Saliency Detection via Bidirectional Absorbing Markov Chain—0
Surface Defect Saliency of Magnetic TileCode0
Unsupervised learning of foreground object detection—0
Self-Attention Recurrent Network for Saliency Detection—0
Video Saliency Detection by 3D Convolutional Neural Networks—0
Hyperspectral Image Dataset for Benchmarking on Salient Object DetectionCode0
Context Proposals for Saliency Detection—0
Show, Attend and Translate: Unsupervised Image Translation with Self-Regularization and Attention—0
Flow Guided Recurrent Neural Encoder for Video Salient Object Detection—0
Learning to Promote Saliency DetectorsCode0
Detect Globally, Refine Locally: A Novel Approach to Saliency Detection—0
A Bi-Directional Message Passing Model for Salient Object Detection—0
Non-convex non-local flows for saliency detection—0
Coarse-to-Fine Salient Object Detection with Low-Rank Matrix Recovery—0
Ro-SOS: Metric Expression Network (MEnet) for Robust Salient Object SegmentationCode0
Exploiting the Value of the Center-dark Channel Prior for Salient Object Detection—0
Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective—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