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Segmentation

Papers

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Showing 8676–8700 of 13072 papers

TitleStatusHype
PE-MED: Prompt Enhancement for Interactive Medical Image Segmentation—0
Penalizing small errors using an Adaptive Logarithmic Loss—0
Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation—0
PerceiverS: A Multi-Scale Perceiver with Effective Segmentation for Long-Term Expressive Symbolic Music Generation—0
Perceptual-assisted Adversarial Adaptation for Choroid Segmentation in optical coherence tomography—0
Perceptual Consistency in Video Segmentation—0
Perceptual Organization and Recognition of Indoor Scenes from RGB-D Images—0
Performance Analysis of Deep Learning Models for Femur Segmentation in MRI Scan—0
Performance Analysis of UNet and Variants for Medical Image Segmentation—0
Performance and Non-adversarial Robustness of the Segment Anything Model 2 in Surgical Video Segmentation—0
Performance Estimation for Supervised Medical Image Segmentation Models on Unlabeled Data Using UniverSeg—0
Performance Evaluation of Deep Learning Networks for Semantic Segmentation of Traffic Stereo-Pair Images—0
Performance Evaluation of YOLOv8 Model Configurations, for Instance Segmentation of Strawberry Fruit Development Stages in an Open Field Environment—0
Performance of Human Annotators in Object Detection and Segmentation of Remotely Sensed Data—0
Perivascular Spaces Segmentation in Brain MRI Using Optimal 3D Filtering—0
Persistent Homology Based Graph Convolution Network for Fine-Grained 3D Shape Segmentation—0
PetroSurf3D - A Dataset for high-resolution 3D Surface Segmentation—0
pFLFE: Cross-silo Personalized Federated Learning via Feature Enhancement on Medical Image Segmentation—0
PFPs: Prompt-guided Flexible Pathological Segmentation for Diverse Potential Outcomes Using Large Vision and Language Models—0
PGDiffSeg: Prior-Guided Denoising Diffusion Model with Parameter-Shared Attention for Breast Cancer Segmentation—0
PGD-UNet: A Position-Guided Deformable Network for Simultaneous Segmentation of Organs and Tumors—0
PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation—0
PHE-SICH-CT-IDS: A Benchmark CT Image Dataset for Evaluation Semantic Segmentation, Object Detection and Radiomic Feature Extraction of Perihematomal Edema in Spontaneous Intracerebral Hemorrhage—0
Phoneme Boundary Analysis using Multiway Geometric Properties of Waveform Trajectories—0
Photonic Accelerators for Image Segmentation in Autonomous Driving and Defect Detection—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