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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 76–100 of 364 papers

TitleStatusHype
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
Show:102550
← PrevPage 4 of 15Next →
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