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Segmentation

Papers

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Showing 10201–10250 of 13072 papers

TitleStatusHype
U-WNO:U-Net-enhanced Wavelet Neural Operator for fetal head segmentation—0
UW-SDF: Exploiting Hybrid Geometric Priors for Neural SDF Reconstruction from Underwater Multi-view Monocular Images—0
UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation—0
VAFO-Loss: VAscular Feature Optimised Loss Function for Retinal Artery/Vein Segmentation—0
Validation and Optimization of Multi-Organ Segmentation on Clinical Imaging Archives—0
Validation of musculoskeletal segmentation model with uncertainty estimation for bone and muscle assessment in hip-to-knee clinical CT images—0
Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis—0
Value of Temporal Dynamics Information in Driving Scene Segmentation—0
Variance-insensitive and Target-preserving Mask Refinement for Interactive Image Segmentation—0
Variational Context-Deformable ConvNets for Indoor Scene Parsing—0
Variational Image Segmentation Model Coupled with Image Restoration Achievements—0
Variational Inference for Quantifying Inter-observer Variability in Segmentation of Anatomical Structures—0
Variational multichannel multiclass segmentation using unsupervised lifting with CNNs—0
Variational Probabilistic Fusion Network for RGB-T Semantic Segmentation—0
Variational U-Net with Local Alignment for Joint Tumor Extraction and Registration (VALOR-Net) of Breast MRI Data Acquired at Two Different Field Strengths—0
Vascular Segmentation of Functional Ultrasound Images using Deep Learning—0
VecRoad: Point-Based Iterative Graph Exploration for Road Graphs Extraction—0
Vehicle detection and counting from VHR satellite images: efforts and open issues—0
Vehicle Instance Segmentation from Aerial Image and Video Using a Multi-Task Learning Residual Fully Convolutional Network—0
VeniBot: Towards Autonomous Venipuncture with Semi-supervised Vein Segmentation from Ultrasound Images—0
A Comparative Analysis of U-Net-based models for Segmentation of Cardiac MRI—0
VertDetect: Fully End-to-End 3D Vertebral Instance Segmentation Model—0
Vertebral body segmentation with GrowCut: Initial experience, workflow and practical application—0
Vertical Federated Image Segmentation—0
Vertical stratification of forest canopy for segmentation of under-story trees within small-footprint airborne LiDAR point clouds—0
VertXNet: An Ensemble Method for Vertebrae Segmentation and Identification of Spinal X-Ray—0
VertXNet: Automatic Segmentation and Identification of Lumbar and Cervical Vertebrae from Spinal X-ray Images—0
Vessel Segmentation and Catheter Detection in X-Ray Angiograms Using Superpixels—0
VesselShot: Few-shot learning for cerebral blood vessel segmentation—0
VH-HFCN based Parking Slot and Lane Markings Segmentation on Panoramic Surround View—0
ViCaS: A Dataset for Combining Holistic and Pixel-level Video Understanding using Captions with Grounded Segmentation—0
VICE: Visual Identification and Correction of Neural Circuit Errors—0
Vicinal Feature Statistics Augmentation for Federated 3D Medical Volume Segmentation—0
Video Action Segmentation via Contextually Refined Temporal Keypoints—0
Video Action Segmentation with Hybrid Temporal Networks—0
Video-based Sign Language Recognition without Temporal Segmentation—0
VideoClick: Video Object Segmentation with a Single Click—0
Video Instance Segmentation Tracking With a Modified VAE Architecture—0
Video-Instrument Synergistic Network for Referring Video Instrument Segmentation in Robotic Surgery—0
Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation—0
VideoMatch: Matching based Video Object Segmentation—0
Video Motion Segmentation Using New Adaptive Manifold Denoising Model—0
Video Object of Interest Segmentation—0
Video Object Segmentation and Tracking: A Survey—0
Video Object Segmentation Using Global and Instance Embedding Learning—0
Video Object Segmentation using Tracked Object Proposals—0
Video Object Segmentation via SAM 2: The 4th Solution for LSVOS Challenge VOS Track—0
Video Object Segmentation with Language Referring Expressions—0
Video Object Segmentation Without Temporal Information—0
Video Prediction Models as General Visual Encoders—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