SOTAVerified

Segmentation

Papers

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Showing 9476–9500 of 13072 papers

TitleStatusHype
Segment Anything, Even Occluded—0
Segment Anything for Microscopy—0
Segment anything, from space?—0
Segment Anything in Pathology Images with Natural Language—0
Segment Anything is A Good Pseudo-label Generator for Weakly Supervised Semantic Segmentation—0
Segment Anything Meets Semantic Communication—0
Segment Anything Model for automated image data annotation: empirical studies using text prompts from Grounding DINO—0
Segment Anything Model for Brain Tumor Segmentation—0
Pedestrian Accessible Infrastructure Inventory: Assessing Zero-Shot Segmentation on Multi-Mode Geospatial Data for All Pedestrian Types—0
Segment Anything Model-guided Collaborative Learning Network for Scribble-supervised Polyp Segmentation—0
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging—0
Segment Anything Model (SAM) for Radiation Oncology—0
Segment Anything Model (SAM) Meets Glass: Mirror and Transparent Objects Cannot Be Easily Detected—0
Enhancing the Reliability of Segment Anything Model for Auto-Prompting Medical Image Segmentation with Uncertainty Rectification—0
SegmentAnyTree: A sensor and platform agnostic deep learning model for tree segmentation using laser scanning data—0
Segmentasi Citra Menggunakan Metode Watershed Transform Berdasarkan Image Enhancement Dalam Mendeteksi Embrio Telur—0
Segmentation Analysis in Human Centric Cyber-Physical Systems using Graphical Lasso—0
Segmentation and Characterization of Macerated Fibers and Vessels Using Deep Learning—0
Segmentation and Classification of Cine-MR Images Using Fully Convolutional Networks and Handcrafted Features—0
Segmentation and Classification of Skin Lesions for Disease Diagnosis—0
Segmentation and genome annotation algorithms—0
Segmentation and Restoration of Images on Surfaces by Parametric Active Contours with Topology Changes—0
Segmentation and Risk Score Prediction of Head and Neck Cancers in PET/CT Volumes with 3D U-Net and Cox Proportional Hazard Neural Networks—0
Segmentation and Vascular Vectorization for Coronary Artery by Geometry-based Cascaded Neural Network—0
Segmentation Approach for Coreference Resolution Task—0
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All datasetsSA-1B.MFSDMMFloodSimGas

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1unSAM+ (Semi-supervised)Average Precision42.8—Unverified
2SAMAverage Precision38.9—Unverified
#ModelMetricClaimedVerifiedStatus
1HNN10%20—Unverified
#ModelMetricClaimedVerifiedStatus
1ABANetF1 Score96.82—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50 + DeepLabV3+F1 score0.77—Unverified
#ModelMetricClaimedVerifiedStatus
1LangGasIoU0.69—Unverified