SOTAVerified

Segmentation

Papers

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Showing 6101–6125 of 13072 papers

TitleStatusHype
Comparative Analysis of Segment Anything Model and U-Net for Breast Tumor Detection in Ultrasound and Mammography Images—0
Joint Dense-Point Representation for Contour-Aware Graph SegmentationCode0
Fast Segment AnythingCode0
Using super-resolution for enhancing visual perception and segmentation performance in veterinary cytology—0
Deep Learning Methods for Retinal Blood Vessel Segmentation: Evaluation on Images with Retinopathy of Prematurity—0
Segment Anything Model (SAM) for Radiation Oncology—0
Meta-Analysis of Transfer Learning for Segmentation of Brain Lesions—0
Deep Learning Framework with Multi-Head Dilated Encoders for Enhanced Segmentation of Cervical Cancer on Multiparametric Magnetic Resonance Imaging—0
A spatio-temporal network for video semantic segmentation in surgical videos—0
SegT: A Novel Separated Edge-guidance Transformer Network for Polyp Segmentation—0
Benchmarking Deep Learning Architectures for Urban Vegetation Point Cloud Semantic Segmentation from MLS—0
Residual Spatial Fusion Network for RGB-Thermal Semantic Segmentation—0
Echocardiography Segmentation Using Neural ODE-based Diffeomorphic Registration Field—0
Multi-task 3D building understanding with multi-modal pretraining—0
Towards Better Certified Segmentation via Diffusion ModelsCode0
Diffusion Models for Open-Vocabulary Segmentation—0
Infrastructure Crack Segmentation: Boundary Guidance Method and Benchmark DatasetCode0
Transferring Knowledge for Food Image Segmentation using Transformers and Convolutions—0
Robustness Analysis on Foundational Segmentation Models—0
A Self-Supervised Miniature One-Shot Texture Segmentation (MOSTS) Model for Real-Time Robot Navigation and Embedded ApplicationsCode0
Accurate Airway Tree Segmentation in CT Scans via Anatomy-aware Multi-class Segmentation and Topology-guided Iterative Learning—0
Zero-Shot Anomaly Detection with Pre-trained Segmentation Models—0
Temporally-Extended Prompts Optimization for SAM in Interactive Medical Image Segmentation—0
SMC-UDA: Structure-Modal Constraint for Unsupervised Cross-Domain Renal Segmentation—0
M^2UNet: MetaFormer Multi-scale Upsampling Network for Polyp 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