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

Showing 125 of 364 papers

TitleStatusHype
Feature Hallucination for Self-supervised Action Recognition0
Low-Rate Semantic Communication with Codebook-based Conditional Generative Models0
Collaborative Temporal Consistency Learning for Point-supervised Natural Language Video Localization0
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
Unlocking Comics: The AI4VA Dataset for Visual UnderstandingCode1
AGSENet: A Robust Road Ponding Detection Method for Proactive Traffic Safety0
VISTA: A Visual and Textual Attention Dataset for Interpreting Multimodal Models0
AIM 2024 Challenge on Video Saliency Prediction: Methods and ResultsCode1
Evaluating saliency scores in point clouds of natural environments by learning surface anomalies0
Saliency Detection in Educational Videos: Analyzing the Performance of Current Models, Identifying Limitations and Advancement Directions0
AHMF: Adaptive Hybrid-Memory-Fusion Model for Driver Attention Prediction0
GSBIQA: Green Saliency-guided Blind Image Quality Assessment Method0
SUM: Saliency Unification through Mamba for Visual Attention ModelingCode2
ViDSOD-100: A New Dataset and a Baseline Model for RGB-D Video Salient Object DetectionCode0
SMCL: Saliency Masked Contrastive Learning for Long-tailed Recognition0
Learning Adaptive Fusion Bank for Multi-modal Salient Object DetectionCode1
RGB Guided ToF Imaging System: A Survey of Deep Learning-based Methods0
SalFAU-Net: Saliency Fusion Attention U-Net for Salient Object Detection0
SRAGAN: Saliency Regularized and Attended Generative Adversarial Network for Chinese Ink-wash Painting Generation0
GreenSaliency: A Lightweight and Efficient Image Saliency Detection Method0
CosalPure: Learning Concept from Group Images for Robust Co-Saliency Detection0
Extracting Human Attention through Crowdsourced Patch Labeling0
Finding Visual Saliency in Continuous Spike StreamCode1
Auxiliary Tasks Enhanced Dual-affinity Learning for Weakly Supervised Semantic Segmentation0
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Benchmark Results

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