SOTAVerified

Segmentation

Papers

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Showing 11501–11525 of 13072 papers

TitleStatusHype
Loss Max-Pooling for Semantic Image Segmentation—0
Lost in Tracking: Uncertainty-guided Cardiac Cine MRI Segmentation at Right Ventricle Base—0
A dynamic interactive learning framework for automated 3D medical image segmentation—0
A dynamic graph-cuts method with integrated multiple feature maps for segmenting kidneys in ultrasound images—0
A Dynamically Weighted Loss Function for Unsupervised Image Segmentation—0
Low complexity convolutional neural network for vessel segmentation in portable retinal diagnostic devices—0
Low-cost LIDAR based Vehicle Pose Estimation and Tracking—0
Low-cost Robust Night-time Aerial Material Segmentation through Hyperspectral Data and Sparse Spatio-Temporal Learning—0
Low-Cost Scene Modeling using a Density Function Improves Segmentation Performance—0
Lowis3D: Language-Driven Open-World Instance-Level 3D Scene Understanding—0
Open-Set Semantic Segmentation for Point Clouds via Adversarial Prototype Framework—0
Low-Latency Video Semantic Segmentation—0
Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation—0
Open Source Infrastructure for Automatic Cell Segmentation—0
Adversarial Vessel-Unveiling Semi-Supervised Segmentation for Retinopathy of Prematurity Diagnosis—0
Low-Resource White-Box Semantic Segmentation of Supporting Towers on 3D Point Clouds via Signature Shape Identification—0
Open-Source Manually Annotated Vocal Tract Database for Automatic Segmentation from 3D MRI Using Deep Learning: Benchmarking 2D and 3D Convolutional and Transformer Networks—0
LPSNet: A Lightweight Solution for Fast Panoptic Segmentation—0
Adversarial Transformer for Repairing Human Airway Segmentation—0
LRNNet: A Light-Weighted Network with Efficient Reduced Non-Local Operation for Real-Time Semantic Segmentation—0
LSegDiff: A Latent Diffusion Model for Medical Image Segmentation—0
LSM: Learning Subspace Minimization for Low-level Vision—0
Language-guided Scale-aware MedSegmentor for Lesion Segmentation in Medical Imaging—0
Particle methods enable fast and simple approximation of Sobolev gradients in image segmentation—0
L-SNet: from Region Localization to Scale Invariant Medical 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