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Segmentation

Papers

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Showing 11526–11550 of 13072 papers

TitleStatusHype
3D Compositional Zero-shot Learning with DeCompositional Consensus—0
LSSF-Net: Lightweight Segmentation with Self-Awareness, Spatial Attention, and Focal Modulation—0
LSVOS Challenge 3rd Place Report: SAM2 and Cutie based VOS—0
LSVOS Challenge Report: Large-scale Complex and Long Video Object Segmentation—0
LT-Net: Label Transfer by Learning Reversible Voxel-wise Correspondence for One-shot Medical Image Segmentation—0
LTSP: Long-Term Slice Propagation for Accurate Airway Segmentation—0
Adversarial training and dilated convolutions for brain MRI segmentation—0
Adversarial Stain Transfer to Study the Effect of Color Variation on Cell Instance Segmentation—0
3DCFS: Fast and Robust Joint 3D Semantic-Instance Segmentation via Coupled Feature Selection—0
LUDVIG: Learning-free Uplifting of 2D Visual features to Gaussian Splatting scenes—0
Adversarial-Prediction Guided Multi-task Adaptation for Semantic Segmentation of Electron Microscopy Images—0
Lumbar Spine Tumor Segmentation and Localization in T2 MRI Images Using AI—0
LUND-PROBE -- LUND Prostate Radiotherapy Open Benchmarking and Evaluation dataset—0
LU-Net: a multi-task network to improve the robustness of segmentation of left ventriclular structures by deep learning in 2D echocardiography—0
3D Cell Nuclei Segmentation with Balanced Graph Partitioning—0
Open-Vocabulary 3D Semantic Segmentation with Foundation Models—0
Lung Cancer Detection from CT Scan Images based on Genetic-Independent Recurrent Deep Learning—0
Adversarial optimization for joint registration and segmentation in prostate CT radiotherapy—0
Lung image segmentation by generative adversarial networks—0
Lung infection and normal region segmentation from CT volumes of COVID-19 cases—0
Adversarial normalization for multi domain image segmentation—0
CT-LungNet: A Deep Learning Framework for Precise Lung Tissue Segmentation in 3D Thoracic CT Scans—0
Lung Nodules Detection and Segmentation Using 3D Mask-RCNN—0
Adversarial Neural Networks in Medical Imaging Advancements and Challenges in Semantic Segmentation—0
Lung Nodule Segmentation: Exploring Data Efficiency and Advanced Architectures—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