SOTAVerified

Segmentation

Papers

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Showing 5751–5775 of 13072 papers

TitleStatusHype
Diffuse Attend and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion—0
Bayesian uncertainty-weighted loss for improved generalisability on polyp segmentation task—0
Adapting the Segment Anything Model During Usage in Novel Situations—0
Bayesian Uncertainty Estimation by Hamiltonian Monte Carlo: Applications to Cardiac MRI Segmentation—0
Free-Mask: A Novel Paradigm of Integration Between the Segmentation Diffusion Model and Image Editing to Improve Segmentation Ability—0
Bayesian Semantic Instance Segmentation in Open Set World—0
DiffSeg: A Segmentation Model for Skin Lesions Based on Diffusion Difference—0
DiffPrompter: Differentiable Implicit Visual Prompts for Semantic-Segmentation in Adverse Conditions—0
Bayesian Self-Training for Semi-Supervised 3D Segmentation—0
Analysis of Vision-based Abnormal Red Blood Cell Classification—0
Adapting Semantic Segmentation Models for Changes in Illumination and Camera Perspective—0
DiffMix: Diffusion Model-based Data Synthesis for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets—0
DiffMap: Enhancing Map Segmentation with Map Prior Using Diffusion Model—0
Diff-Lung: Diffusion-Based Texture Synthesis for Enhanced Pathological Tissue Segmentation in Lung CT Scans—0
Analysis of the MICCAI Brain Tumor Segmentation -- Metastases (BraTS-METS) 2025 Lighthouse Challenge: Brain Metastasis Segmentation on Pre- and Post-treatment MRI—0
Differential Privacy for Adaptive Weight Aggregation in Federated Tumor Segmentation—0
Bayesian Prediction of Future Street Scenes through Importance Sampling based Optimization—0
Differentiable Topology-Preserved Distance Transform for Pulmonary Airway Segmentation—0
Bayesian Optimization of 2D Echocardiography Segmentation—0
Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge—0
Bayesian nonparametric shared multi-sequence time series segmentation—0
Differentiable Programming for Piecewise Polynomial Functions—0
Differentiable Meta-learning Model for Few-shot Semantic Segmentation—0
Bayesian nonparametric image segmentation using a generalized Swendsen-Wang algorithm—0
Analysis of supervised and semi-supervised GrowCut applied to segmentation of masses in mammography images—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