SOTAVerified

Segmentation

Papers

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Showing 9176–9200 of 13072 papers

TitleStatusHype
FCN+: Global Receptive Convolution Makes FCN Great Again—0
Attention Mechanisms in Medical Image Segmentation: A Survey—0
FCSN: Global Context Aware Segmentation by Learning the Fourier Coefficients of Objects in Medical Images—0
Attention-guided Unified Network for Panoptic Segmentation—0
FDDWNet: A Lightweight Convolutional Neural Network for Real-time Sementic Segmentation—0
FDiff-Fusion:Denoising diffusion fusion network based on fuzzy learning for 3D medical image segmentation—0
FDNet: Feature Decoupled Segmentation Network for Tooth CBCT Image—0
FDNet: Frequency Domain Denoising Network For Cell Segmentation in Astrocytes Derived From Induced Pluripotent Stem Cells—0
Semantic-Aware Contrastive Learning for Multi-object Medical Image Segmentation—0
Mind the Context: Attention-Guided Weak-to-Strong Consistency for Enhanced Semi-Supervised Medical Image Segmentation—0
Attention-guided Feature Distillation for Semantic Segmentation—0
Feature-Adaptive Interactive Thresholding of Large 3D Volumes—0
Feature-Augmented Deep Networks for Multiscale Building Segmentation in High-Resolution UAV and Satellite Imagery—0
Hybrid Deep Learning Framework for Enhanced Melanoma Detection—0
Multi-task learning from fixed-wing UAV images for 2D/3D city modeling—0
Feature Decomposition Based Saliency Detection in Electron Cryo-Tomograms—0
Feature Decoupling-Recycling Network for Fast Interactive Segmentation—0
Feature-EndoGaussian: Feature Distilled Gaussian Splatting in Surgical Deformable Scene Reconstruction—0
Feature-enhanced Adversarial Semi-supervised Semantic Segmentation Network for Pulmonary Embolism Annotation—0
Feature-enhanced Generation and Multi-modality Fusion based Deep Neural Network for Brain Tumor Segmentation with Missing MR Modalities—0
Feature Enhancer Segmentation Network (FES-Net) for Vessel Segmentation—0
Feature-Fused Context-Encoding Network for Neuroanatomy Segmentation—0
Feature Fusion Encoder Decoder Network For Automatic Liver Lesion Segmentation—0
Feature Fusion through Multitask CNN for Large-scale Remote Sensing Image Segmentation—0
Attention-Enhanced U-Net for Accurate Segmentation of COVID-19 Infected Lung Regions in CT Scans—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