Defocus Blur Detection
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Benchmarks
Most implemented
Explicit Visual Prompting for Universal Foreground Segmentations
FOCUS: Towards Universal Foreground Segmentation
Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offs
Are you sure it’s an artifact? Artifact detection and uncertainty quantification in histological images
Depth and DOF Cues Make A Better Defocus Blur Detector
Explicit Visual Prompting for Low-Level Structure Segmentations
Papers
FOCUS: Towards Universal Foreground Segmentation
Foreground segmentation is a fundamental task in computer vision, encompassing various subdivision tasks. Previous research has typically designed task-specific architectures for each task, leading to a lack of unificati…
Camouflaged Object SegmentationDefocus Blur DetectionForeground SegmentationSalient Object Detection+2Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offs
Histopathology is a gold standard for cancer diagnosis under a microscopic examination. However, histological tissue processing procedures result in artifacts, which are ultimately transferred to the digitized version of…
Airbubbles DetectionAnomaly DetectionArtifact DetectionBlood Detection+7Are you sure it’s an artifact? Artifact detection and uncertainty quantification in histological images
Modern cancer diagnostics involves extracting tissue specimens from suspicious areas and conducting histotechnical procedures to prepare a digitized glass slide, called Whole Slide Image (WSI), for further examination. T…
Anomaly DetectionArtifact DetectionDefocus Blur DetectionDiagnostic+4Depth and DOF Cues Make A Better Defocus Blur Detector
Defocus blur detection (DBD) separates in-focus and out-of-focus regions in an image. Previous approaches mistakenly mistook homogeneous areas in focus for defocus blur regions, likely due to not considering the internal…
Defocus Blur DetectionDepth EstimationMonocular Depth EstimationExplicit Visual Prompting for Universal Foreground Segmentations
Foreground segmentation is a fundamental problem in computer vision, which includes salient object detection, forgery detection, defocus blur detection, shadow detection, and camouflage object detection. Previous works h…
Camouflaged Object SegmentationDefocus Blur DetectionForeground SegmentationImage Manipulation Detection+4Explicit Visual Prompting for Low-Level Structure Segmentations
We consider the generic problem of detecting low-level structures in images, which includes segmenting the manipulated parts, identifying out-of-focus pixels, separating shadow regions, and detecting concealed objects. W…
Camouflaged Object SegmentationDefocus Blur DetectionForeground SegmentationImage Manipulation Detection+3