SOTAVerified

RGB Salient Object Detection

RGB Salient object detection is a task-based on a visual attention mechanism, in which algorithms aim to explore objects or regions more attentive than the surrounding areas on the scene or RGB images.

( Image credit: Attentive Feedback Network for Boundary-Aware Salient Object Detection )

Papers

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Showing 1–50 of 222 papers

TitleStatusHype
Patch-Depth Fusion: Dichotomous Image Segmentation via Fine-Grained Patch Strategy and Depth Integrity-PriorCode1
CPDR: Towards Highly-Efficient Salient Object Detection via Crossed Post-decoder Refinement—0
CoLA: Conditional Dropout and Language-driven Robust Dual-modal Salient Object DetectionCode1
Bilateral Reference for High-Resolution Dichotomous Image SegmentationCode7
M^3Net: Multilevel, Mixed and Multistage Attention Network for Salient Object DetectionCode1
Revisiting Image Pyramid Structure for High Resolution Salient Object DetectionCode3
A Weakly Supervised Learning Framework for Salient Object Detection via Hybrid LabelsCode1
Pyramid Grafting Network for One-Stage High Resolution Saliency DetectionCode1
TRACER: Extreme Attention Guided Salient Object Tracing NetworkCode1
C^4Net: Contextual Compression and Complementary Combination Network for Salient Object Detection—0
Saliency Detection via Global Context Enhanced Feature Fusion and Edge Weighted Loss—0
Disentangled High Quality Salient Object DetectionCode1
P2T: Pyramid Pooling Transformer for Scene UnderstandingCode1
Densely Deformable Efficient Salient Object Detection NetworkCode1
Uncertainty Inspired RGB-D Saliency DetectionCode1
Regularized Densely-connected Pyramid Network for Salient Instance SegmentationCode1
Siamese Network for RGB-D Salient Object Detection and BeyondCode1
Label Decoupling Framework for Salient Object DetectionCode1
Progressively Guided Alternate Refinement Network for RGB-D Salient Object DetectionCode1
DyStaB: Unsupervised Object Segmentation via Dynamic-Static Bootstrapping—0
Rethinking of the Image Salient Object Detection: Object-level Semantic Saliency Re-ranking First, Pixel-wise Saliency Refinement Latter—0
A Deeper Look at Salient Object Detection: Bi-stream Network with a Small Training Dataset—0
Depth Quality Aware Salient Object DetectionCode1
Cascade Graph Neural Networks for RGB-D Salient Object DetectionCode1
A Novel Video Salient Object Detection Method via Semi-supervised Motion Quality PerceptionCode0
Exploring Rich and Efficient Spatial Temporal Interactions for Real Time Video Salient Object DetectionCode1
Recursive Multi-model Complementary Deep Fusion forRobust Salient Object Detection via Parallel Sub NetworksCode0
Knowing Depth Quality In Advance: A Depth Quality Assessment Method For RGB-D Salient Object DetectionCode0
Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation—0
RGB-D Salient Object Detection: A SurveyCode1
Exploring Image Enhancement for Salient Object Detection in Low Light Images—0
Accurate RGB-D Salient Object Detection via Collaborative LearningCode1
TENet: Triple Excitation Network for Video Salient Object Detection—0
Multi-scale Interactive Network for Salient Object DetectionCode1
Suppress and Balance: A Simple Gated Network for Salient Object DetectionCode1
RGB-D Salient Object Detection with Cross-Modality Modulation and SelectionCode1
A Single Stream Network for Robust and Real-time RGB-D Salient Object DetectionCode1
Hierarchical Dynamic Filtering Network for RGB-D Salient Object DetectionCode1
Multi-level Cross-modal Interaction Network for RGB-D Salient Object Detection—0
Cross-Modal Weighting Network for RGB-D Salient Object DetectionCode1
RGBT Salient Object Detection: A Large-scale Dataset and BenchmarkCode1
Re-thinking Co-Salient Object DetectionCode1
Bifurcated backbone strategy for RGB-D salient object detectionCode1
A2dele: Adaptive and Attentive Depth Distiller for Efficient RGB-D Salient Object DetectionCode1
Taking a Deeper Look at Co-Salient Object DetectionCode1
Is Depth Really Necessary for Salient Object Detection?Code1
U^2-Net: Going Deeper with Nested U-Structure for Salient Object DetectionCode3
Multi-interactive Dual-decoder for RGB-thermal Salient Object DetectionCode1
Bilateral Attention Network for RGB-D Salient Object DetectionCode1
Salient Object Detection Combining a Self-attention Module and a Feature Pyramid Network—0
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All datasetsDUTS-TEDUT-OMRONECSSDHKU-ISHRSODPASCAL-SDAVIS-SUHRSDISTDSBU / SBU-RefineSOCUCF

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BiRefNet (DUTS, HRSOD, UHRSD)S-Measure0.94—Unverified
2BiRefNet (DUTS, UHRSD)S-Measure0.94—Unverified
3BiRefNet (DUTS)S-Measure0.94—Unverified
4BiRefNet (DUTS, HRSOD)S-Measure0.94—Unverified
5C4Netmean E-Measure0.94—Unverified
6BiRefNet (HRSOD, UHRSD)S-Measure0.93—Unverified
7InSPyReNetS-Measure0.93—Unverified
8CPDR-Lmean E-Measure0.93—Unverified
9M3Net-SS-Measure0.93—Unverified
10TRACER-TE7S-Measure0.92—Unverified
#ModelMetricClaimedVerifiedStatus
1CPDR-Lmean E-Measure0.88—Unverified
2BiRefNet (DUTS, HRSOD, UHRSD)S-Measure0.88—Unverified
3BiRefNet (DUTS, UHRSD)S-Measure0.88—Unverified
4InSPyReNetS-Measure0.88—Unverified
5M3Net-SS-Measure0.87—Unverified
6BiRefNet (DUTS, HRSOD)S-Measure0.87—Unverified
7BiRefNet (DUTS)S-Measure0.87—Unverified
8C4Netmean E-Measure0.87—Unverified
9BiRefNet (HRSOD, UHRSD)S-Measure0.86—Unverified
10TRACER-TE7S-Measure0.86—Unverified
#ModelMetricClaimedVerifiedStatus
1M3Net-SS-Measure0.95—Unverified
2PoolNet (VGG-16)F-measure0.95—Unverified
3InSPyReNetS-Measure0.94—Unverified
4TRACER-TE7S-Measure0.94—Unverified
5CFDNS-Measure0.93—Unverified
6M3Net-RS-Measure0.93—Unverified
7DSS (Res2Net-50)F-measure0.93—Unverified
8UCNet-CVAES-Measure0.92—Unverified
9CPD-R (ResNet50)F-measure0.92—Unverified
10HybridSODS-Measure0.89—Unverified
#ModelMetricClaimedVerifiedStatus
1InSPyReNetS-Measure0.94—Unverified
2M3Net-SS-Measure0.94—Unverified
3PoolNet (VGG-16)F-measure0.94—Unverified
4TRACER-TE7S-Measure0.93—Unverified
5M3Net-RS-Measure0.93—Unverified
6UCNet-CVAES-Measure0.92—Unverified
7UCNet-ABPS-Measure0.92—Unverified
8DSS (Res2Net-50)F-measure0.91—Unverified
9CPD-R (ResNet50)F-measure0.89—Unverified
10HybridSODS-Measure0.89—Unverified
#ModelMetricClaimedVerifiedStatus
1PDFNet (HRSOD,UHRSD)S-Measure0.96—Unverified
2BiRefNet (DUTS, HRSOD, UHRSD)S-Measure0.96—Unverified
3BiRefNet (DUTS, HRSOD)S-Measure0.96—Unverified
4InSPyReNet (DUTS, HRSOD)S-Measure0.96—Unverified
5BiRefNet (DUTS, UHRSD)S-Measure0.96—Unverified
6BiRefNet (DUTS)S-Measure0.96—Unverified
7InSPyReNet (HRSOD, UHRSD)S-Measure0.96—Unverified
8BiRefNet (HRSOD, UHRSD)S-Measure0.96—Unverified
9InSPyReNetS-Measure0.95—Unverified
10PGNet (HRSOD, UHRSD)S-Measure0.94—Unverified
#ModelMetricClaimedVerifiedStatus
1CFDNS-Measure0.89—Unverified
2InSPyReNetS-Measure0.89—Unverified
3M3Net-SS-Measure0.89—Unverified
4TRACER-TE7S-Measure0.88—Unverified
5PoolNet (VGG-16)F-measure0.88—Unverified
6M3Net-RS-Measure0.87—Unverified
7DSS (Res2Net-50)F-measure0.84—Unverified
8HybridSODS-Measure0.83—Unverified
9CPD-R (ResNet50)F-measure0.82—Unverified
10BASNetMAE0.08—Unverified
#ModelMetricClaimedVerifiedStatus
1BiRefNet (HRSOD, UHRSD)S-measure0.98—Unverified
2BiRefNet (DUTS, HRSOD, UHRSD)S-measure0.98—Unverified
3BiRefNet (DUTS, UHRSD)S-measure0.98—Unverified
4BiRefNet (DUTS, HRSOD)S-measure0.97—Unverified
5InSPyReNet (DUTS, HRSOD)S-measure0.97—Unverified
6BiRefNet (DUTS)S-measure0.97—Unverified
7InSPyReNetS-measure0.96—Unverified
8PGNet (HRSOD, UHRSD)S-measure0.95—Unverified
9PGNet (DUTS, HRSOD)S-measure0.95—Unverified
10PGNetS-measure0.94—Unverified
#ModelMetricClaimedVerifiedStatus
1BiRefNet (DUTS, HRSOD, UHRSD)S-Measure0.96—Unverified
2PDFNet (HRSOD, UHRSD)S-Measure0.95—Unverified
3InSPyReNet (HRSOD, UHRSD)S-Measure0.95—Unverified
4BiRefNet (DUTS, UHRSD)S-Measure0.95—Unverified
5BiRefNet (HRSOD, UHRSD)S-Measure0.95—Unverified
6BiRefNet (DUTS, HRSOD)S-Measure0.94—Unverified
7InSPyReNet (DUTS, HRSOD)S-Measure0.94—Unverified
8PGNet (HRSOD, UHRSD)S-Measure0.94—Unverified
9InSPyReNetS-Measure0.93—Unverified
10BiRefNet (DUTS)S-Measure0.93—Unverified
#ModelMetricClaimedVerifiedStatus
1DSSBalanced Error Rate10.48—Unverified
2scGANBalanced Error Rate8.98—Unverified
3DSCBalanced Error Rate8.24—Unverified
4NLDFBalanced Error Rate7.5—Unverified
5JDRBalanced Error Rate7.35—Unverified
6BMPMBalanced Error Rate7.1—Unverified
7CPDBalanced Error Rate6.76—Unverified
#ModelMetricClaimedVerifiedStatus
1scGANBalanced Error Rate9.1—Unverified
2JDRBalanced Error Rate8.14—Unverified
3NLDFBalanced Error Rate7.02—Unverified
4DSSBalanced Error Rate7—Unverified
5BMPMBalanced Error Rate6.17—Unverified
6DSCBalanced Error Rate5.59—Unverified
7CPDBalanced Error Rate4.19—Unverified
#ModelMetricClaimedVerifiedStatus
1PiCANetAverage MAE0.13—Unverified
2AFNetAverage MAE0.12—Unverified
3NLDFAverage MAE0.11—Unverified
4SCRNAverage MAE0.1—Unverified
5BASNetAverage MAE0.09—Unverified
6UCNet-APBAverage MAE0.09—Unverified
7UCNet-CVAEAverage MAE0.09—Unverified
#ModelMetricClaimedVerifiedStatus
1scGANBalanced Error Rate11.5—Unverified
2JDRBalanced Error Rate11.23—Unverified
3DSSBalanced Error Rate10.56—Unverified
4DSCBalanced Error Rate8.1—Unverified
5BMPMBalanced Error Rate8.09—Unverified
6NLDFBalanced Error Rate7.69—Unverified
7CPDBalanced Error Rate7.21—Unverified
#ModelMetricClaimedVerifiedStatus
1BASNetMAE0.11—Unverified
2BMPMMAE0.11—Unverified
3PoolNet (VGG-16)MAE0.1—Unverified