SOTAVerified

Segmentation

Papers

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Showing 8876–8900 of 13072 papers

TitleStatusHype
Prompt2SegCXR:Prompt to Segment All Organs and Diseases in Chest X-rays—0
Prompt-Based Tuning of Transformer Models for Multi-Center Medical Image Segmentation of Head and Neck Cancer—0
Prompt-driven Universal Model for View-Agnostic Echocardiography Analysis—0
Prompt-enhanced Hierarchical Transformer Elevating Cardiopulmonary Resuscitation Instruction via Temporal Action Segmentation—0
Prompt-Matched Semantic Segmentation—0
Prompt What You Need: Enhancing Segmentation in Rainy Scenes with Anchor-based Prompting—0
Propagating Semantic Labels in Video Data—0
ProPanDL: A Modular Architecture for Uncertainty-Aware Panoptic Segmentation—0
propnet: Propagating 2D Annotation to 3D Segmentation for Gastric Tumors on CT Scans—0
Proposal-free Lidar Panoptic Segmentation with Pillar-level Affinity—0
Proposal-free Network for Instance-level Object Segmentation—0
Proposal-Free Volumetric Instance Segmentation from Latent Single-Instance Masks—0
PAM: A Propagation-Based Model for Segmenting Any 3D Objects across Multi-Modal Medical Images—0
ProSAM: Enhancing the Robustness of SAM-based Visual Reference Segmentation with Probabilistic Prompts—0
Prosodic boundary information helps unsupervised word segmentation—0
Prosodic segmentation for parsing spoken dialogue—0
Prostate Gland Segmentation in Histology Images via Residual and Multi-Resolution U-Net—0
Prostate Segmentation from 3D MRI Using a Two-Stage Model and Variable-Input Based Uncertainty Measure—0
Prostate Segmentation from Ultrasound Images using Residual Fully Convolutional Network—0
Prostate Segmentation in CT Images via Spatial-Constrained Transductive Lasso—0
Prostate Segmentation using 2D Bridged U-net—0
Protecting Semantic Segmentation Models by Using Block-wise Image Encryption with Secret Key from Unauthorized Access—0
Protein Word Detection using Text Segmentation Techniques—0
ProtoGuard-guided PROPEL: Class-Aware Prototype Enhancement and Progressive Labeling for Incremental 3D Point Cloud Segmentation—0
Prototype-Based Approach for One-Shot Segmentation of Brain Tumors using Few-Shot Learning—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