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 5175 of 364 papers

TitleStatusHype
HDR image watermarking using saliency detection and quantization index modulation0
HiDAnet: RGB-D Salient Object Detection via Hierarchical Depth Awareness0
Rethinking Lightweight Salient Object Detection via Network Depth-Width Tradeoff0
Co-Salient Object Detection With Uncertainty-Aware Group Exchange-Masking0
TempSAL - Uncovering Temporal Information for Deep Saliency PredictionCode1
ScanDMM: A Deep Markov Model of Scanpath Prediction for 360deg ImagesCode1
Temporal Saliency Detection Towards Explainable Transformer-based Timeseries ForecastingCode1
Unsupervised Object Localization: Observing the Background to Discover ObjectsCode1
PatchRefineNet: Improving Binary Segmentation by Incorporating Signals from Optimal Patch-wise BinarizationCode0
Point Cloud Quality Assessment using 3D Saliency Maps0
Towards Stable Co-saliency Detection and Object Co-segmentation0
Panoramic Vision Transformer for Saliency Detection in 360° VideosCode1
A Weakly Supervised Learning Framework for Salient Object Detection via Hybrid LabelsCode1
TokenCut: Segmenting Objects in Images and Videos with Self-supervised Transformer and Normalized Cut0
A Unified Two-Stage Group Semantics Propagation and Contrastive Learning Network for Co-Saliency Detection0
Robust RGB-D Fusion for Saliency DetectionCode1
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology ImagesCode1
SiaTrans: Siamese Transformer Network for RGB-D Salient Object Detection with Depth Image Classification0
A Comprehensive Survey on Video Saliency Detection with Auditory Information: the Audio-visual Consistency Perceptual is the Key!Code0
Perceptual Quality Assessment of Virtual Reality Videos in the WildCode0
Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency DetectionCode1
Salient Object Detection via Bounding-box Supervision0
Saliency map using features derived from spiking neural networks of primate visual cortex0
Learning from Pixel-Level Noisy Label : A New Perspective for Light Field Saliency DetectionCode1
Unsupervised Motor Imagery Saliency Detection Based on Self-Attention Mechanism0
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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