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Segmentation

Papers

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Showing 7301–7325 of 13072 papers

TitleStatusHype
Measuring uncertainty in human visual segmentation—0
Med-2D SegNet: A Light Weight Deep Neural Network for Medical 2D Image Segmentation—0
Few-Shot Medical Image Segmentation with Large Kernel Attention—0
Char-SAM: Turning Segment Anything Model into Scene Text Segmentation Annotator with Character-level Visual Prompts—0
Few-shot Medical Image Segmentation with Cycle-resemblance Attention—0
Approximate Size Targets Are Sufficient for Accurate Semantic Segmentation—0
MRI-CORE: A Foundation Model for Magnetic Resonance Imaging—0
Med-DANet: Dynamic Architecture Network for Efficient Medical Volumetric Segmentation—0
Med-DANet V2: A Flexible Dynamic Architecture for Efficient Medical Volumetric Segmentation—0
MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask Generation—0
Few-Shot Learning of Part-Specific Probability Space for 3D Shape Segmentation—0
Character-level NMT and language similarity—0
Few-Shot Learning for Annotation-Efficient Nucleus Instance Segmentation—0
Few-shot image segmentation for cross-institution male pelvic organs using registration-assisted prototypical learning—0
Medical Image Analysis using Deep Relational Learning—0
Adversarial Attack Driven Data Augmentation for Accurate And Robust Medical Image Segmentation—0
Medical Image Segmentation with 3D Convolutional Neural Networks: A Survey—0
Medical Image Segmentation Using a U-Net type of Architecture—0
MPS-AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self-Supervised Medical Image Segmentation—0
Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation—0
Medical Image Segmentation using LeViT-UNet++: A Case Study on GI Tract Data—0
An Ensemble of Neural Networks for Non-Linear Segmentation of Overlapped Cursive Script—0
Few-Shot Defect Segmentation Leveraging Abundant Normal Training Samples Through Normal Background Regularization and Crop-and-Paste Operation—0
Few-Shot Classification & Segmentation Using Large Language Models Agent—0
Approximate Cluster-Based Sparse Document Retrieval with Segmented Maximum Term Weights—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