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 51–100 of 364 papers

TitleStatusHype
Light Field Salient Object Detection: A Review and BenchmarkCode1
Hierarchical Domain-Adapted Feature Learning for Video Saliency PredictionCode1
Can You Spot the Chameleon? Adversarially Camouflaging Images from Co-Salient Object DetectionCode1
Uncertainty Inspired RGB-D Saliency DetectionCode1
Label Decoupling Framework for Salient Object DetectionCode1
Exploring Rich and Efficient Spatial Temporal Interactions for Real Time Video Salient Object DetectionCode1
Asymmetric Two-Stream Architecture for Accurate RGB-D Saliency DetectionCode1
Online Visual Place Recognition via Saliency Re-identificationCode1
Accurate RGB-D Salient Object Detection via Collaborative LearningCode1
JIT-Masker: Efficient Online Distillation for Background MattingCode1
Object Segmentation Without Labels with Large-Scale Generative ModelsCode1
Interactive Two-Stream Decoder for Accurate and Fast Saliency DetectionCode1
A2dele: Adaptive and Attentive Depth Distiller for Efficient RGB-D Salient Object DetectionCode1
Learning Selective Self-Mutual Attention for RGB-D Saliency DetectionCode1
Select, Supplement and Focus for RGB-D Saliency DetectionCode1
Region Proposals for Saliency Map Refinement for Weakly-supervised Disease Localisation and ClassificationCode1
Reproduction of Lateral Inhibition-Inspired Convolutional Neural Network for Visual Attention and Saliency DetectionCode1
Gradient-Induced Co-Saliency DetectionCode1
UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational AutoencodersCode1
DFNet: Discriminative feature extraction and integration network for salient object detectionCode1
Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency DetectionCode1
Unsupervised Discovery of Interpretable Directions in the GAN Latent SpaceCode1
CAGNet: Content-Aware Guidance for Salient Object DetectionCode1
Time-Series Anomaly Detection Service at MicrosoftCode1
RGB-T Image Saliency Detection via Collaborative Graph LearningCode1
Pyramid Feature Attention Network for Saliency detectionCode1
Sanity Checks for Saliency MapsCode1
Real Time Image Saliency for Black Box ClassifiersCode1
A Unified RGB-T Saliency Detection Benchmark: Dataset, Baselines, Analysis and A Novel ApproachCode1
Deeply supervised salient object detection with short connectionsCode1
Feature Hallucination for Self-supervised Action Recognition—0
Low-Rate Semantic Communication with Codebook-based Conditional Generative Models—0
Collaborative Temporal Consistency Learning for Point-supervised Natural Language Video Localization—0
A Deep Learning Framework for Visual Attention Prediction and Analysis of News InterfacesCode0
Copy-Move Detection in Optical Microscopy: A Segmentation Network and A DatasetCode0
AGSENet: A Robust Road Ponding Detection Method for Proactive Traffic Safety—0
VISTA: A Visual and Textual Attention Dataset for Interpreting Multimodal Models—0
Evaluating saliency scores in point clouds of natural environments by learning surface anomalies—0
Saliency Detection in Educational Videos: Analyzing the Performance of Current Models, Identifying Limitations and Advancement Directions—0
AHMF: Adaptive Hybrid-Memory-Fusion Model for Driver Attention Prediction—0
GSBIQA: Green Saliency-guided Blind Image Quality Assessment Method—0
ViDSOD-100: A New Dataset and a Baseline Model for RGB-D Video Salient Object DetectionCode0
SMCL: Saliency Masked Contrastive Learning for Long-tailed Recognition—0
RGB Guided ToF Imaging System: A Survey of Deep Learning-based Methods—0
SalFAU-Net: Saliency Fusion Attention U-Net for Salient Object Detection—0
SRAGAN: Saliency Regularized and Attended Generative Adversarial Network for Chinese Ink-wash Painting Generation—0
GreenSaliency: A Lightweight and Efficient Image Saliency Detection Method—0
CosalPure: Learning Concept from Group Images for Robust Co-Saliency Detection—0
Extracting Human Attention through Crowdsourced Patch Labeling—0
Auxiliary Tasks Enhanced Dual-affinity Learning for Weakly Supervised Semantic Segmentation—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