SOTAVerified

Segmentation

Papers

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Showing 5201–5225 of 13072 papers

TitleStatusHype
Explanations of Classifiers Enhance Medical Image Segmentation via End-to-end Pre-training—0
An Explainable Proxy Model for Multiabel Audio Segmentation—0
Importance-Aware Image Segmentation-based Semantic Communication for Autonomous Driving—0
Improving Limited Supervised Foot Ulcer Segmentation Using Cross-Domain Augmentation—0
DeepThalamus: A novel deep learning method for automatic segmentation of brain thalamic nuclei from multimodal ultra-high resolution MRI—0
MaskClustering: View Consensus based Mask Graph Clustering for Open-Vocabulary 3D Instance Segmentation—0
Compositional Oil Spill Detection Based on Object Detector and Adapted Segment Anything Model from SAR Images—0
Combining Image- and Geometric-based Deep Learning for Shape Regression: A Comparison to Pixel-level Methods for Segmentation in Chest X-Ray—0
Vertical Federated Image Segmentation—0
Beyond Traditional Approaches: Multi-Task Network for Breast Ultrasound DiagnosisCode0
Development of RLK-Unet: a clinically favorable deep learning algorithm for brain metastasis detection and treatment response assessmentCode0
Semi-Supervised Semantic Segmentation using Redesigned Self-Training for White Blood Cells—0
An automated framework for brain vessel centerline extraction from CTA imagesCode0
Fully Automated Tumor Segmentation for Brain MRI data using Multiplanner UNet—0
Plug-in for visualizing 3D tool tracking from videos of Minimally Invasive Surgeries—0
Learning Segmented 3D Gaussians via Efficient Feature Unprojection for Zero-shot Neural Scene Segmentation—0
Leveraging Frequency Domain Learning in 3D Vessel Segmentation—0
Latency-aware Road Anomaly Segmentation in Videos: A Photorealistic Dataset and New Metrics—0
Transformer-CNN Fused Architecture for Enhanced Skin Lesion Segmentation—0
Enhanced Muscle and Fat Segmentation for CT-Based Body Composition Analysis: A Comparative Study—0
An Automatic Cascaded Model for Hemorrhagic Stroke Segmentation and Hemorrhagic Volume Estimation—0
Segment anything model (SAM) for brain extraction in fMRI studiesCode0
MST: Adaptive Multi-Scale Tokens Guided Interactive SegmentationCode0
Learning to Prompt Segment Anything Models—0
Automated Detection of Myopic Maculopathy in MMAC 2023: Achievements in Classification, Segmentation, and Spherical Equivalent PredictionCode0
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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