SOTAVerified

Segmentation

Papers

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Showing 3676–3700 of 13072 papers

TitleStatusHype
Diagonal Hierarchical Consistency Learning for Semi-supervised Medical Image Segmentation—0
Deep Neural Network and Data Augmentation Methodology for off-axis iris segmentation in wearable headsets—0
DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew—0
Deep Neural Ensemble for Retinal Vessel Segmentation in Fundus Images towards Achieving Label-free Angiography—0
Did Evolution get it right? An evaluation of Near-Infrared imaging in semantic scene segmentation using deep learning—0
Diff4MMLiTS: Advanced Multimodal Liver Tumor Segmentation via Diffusion-Based Image Synthesis and Alignment—0
Automatic Selection of Stochastic Watershed Hierarchies—0
Differentiable Meta-learning Model for Few-shot Semantic Segmentation—0
Differentiable Programming for Piecewise Polynomial Functions—0
Bayesian nonparametric shared multi-sequence time series segmentation—0
Analysis of supervised and semi-supervised GrowCut applied to segmentation of masses in mammography images—0
Deep nested level sets: Fully automated segmentation of cardiac MR images in patients with pulmonary hypertension—0
Differentiable Topology-Preserved Distance Transform for Pulmonary Airway Segmentation—0
Bayesian Prediction of Future Street Scenes through Importance Sampling based Optimization—0
Differential Privacy for Adaptive Weight Aggregation in Federated Tumor Segmentation—0
Automatic segmenting teeth in X-ray images: Trends, a novel data set, benchmarking and future perspectives—0
Active Learning for Segmentation by Optimizing Content Information for Maximal Entropy—0
DiffMap: Enhancing Map Segmentation with Map Prior Using Diffusion Model—0
DiffMix: Diffusion Model-based Data Synthesis for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets—0
Enhancing Data Diversity for Self-training Based Unsupervised Cross-modality Vestibular Schwannoma and Cochlea Segmentation—0
DiffPrompter: Differentiable Implicit Visual Prompts for Semantic-Segmentation in Adverse Conditions—0
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy—0
Deep Mutual Learning among Partially Labeled Datasets for Multi-Organ Segmentation—0
Deep Multi-Task Networks For Occluded Pedestrian Pose Estimation—0
Deep Multi-Scale U-Net Architecture and Label-Noise Robust Training Strategies for Histopathological Image Segmentation—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