SOTAVerified

Defocus Blur Detection

Papers

Showing 1–15 of 15 papers

TitleStatusHype
Explicit Visual Prompting for Low-Level Structure SegmentationsCode2
FOCUS: Towards Universal Foreground SegmentationCode2
Explicit Visual Prompting for Universal Foreground SegmentationsCode2
Defocus Blur Detection via Depth DistillationCode1
Self-Generated Defocus Blur Detection via Dual Adversarial DiscriminatorsCode1
Depth and DOF Cues Make A Better Defocus Blur DetectorCode1
Are you sure it’s an artifact? Artifact detection and uncertainty quantification in histological imagesCode0
Distill-DBDGAN: Knowledge Distillation and Adversarial Learning Framework for Defocus Blur DetectionCode0
Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offsCode0
Enhancing Diversity of Defocus Blur Detectors via Cross-Ensemble Network—0
DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Multi-Scale Deep Features—0
Defocus Blur Detection via Salient Region Detection Prior—0
Just Noticeable Defocus Blur Detection and Estimation—0
Rethinking the Defocus Blur Detection Problem and A Real-Time Deep DBD Model—0
Defocus Blur Detection via Multi-Stream Bottom-Top-Bottom Fully Convolutional Network—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Distill-DBDGANMean absolute error0.04—Unverified
2D-DFFNetMAE0.04—Unverified
#ModelMetricClaimedVerifiedStatus
1D-DFFNetIoU0.88—Unverified
#ModelMetricClaimedVerifiedStatus
1Distill-DBDGANMean absolute error0.07—Unverified
#ModelMetricClaimedVerifiedStatus
1D-DFFNetMAE0.08—Unverified
#ModelMetricClaimedVerifiedStatus
1Distill-DBDGANMean absolute error0.07—Unverified