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Segmentation

Papers

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Showing 7601–7625 of 13072 papers

TitleStatusHype
Morphological Segmentation Can Improve Syllabification—0
Morphological Segmentation for Keyword Spotting—0
A plug-and-play framework for curvilinear structure segmentation based on a learned reconnecting regularization—0
FDiff-Fusion:Denoising diffusion fusion network based on fuzzy learning for 3D medical image segmentation—0
Morphological Segmentation Inside-Out—0
Morphological segmentation of hyperspectral images—0
FDDWNet: A Lightweight Convolutional Neural Network for Real-time Sementic Segmentation—0
Morphological Word Segmentation on Agglutinative Languages for Neural Machine Translation—0
Morphology-aware Word-Segmentation in Dialectal Arabic Adaptation of Neural Machine Translation—0
Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation—0
FCSN: Global Context Aware Segmentation by Learning the Fourier Coefficients of Objects in Medical Images—0
ABMDRNet: Adaptive-Weighted Bi-Directional Modality Difference Reduction Network for RGB-T Semantic Segmentation—0
Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation—0
MorphSAM: Learning the Morphological Prompts from Atlases for Spine Image Segmentation—0
Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network—0
Multi-Slice Low-Rank Tensor Decomposition Based Multi-Atlas Segmentation: Application to Automatic Pathological Liver CT Segmentation—0
Mosaic3D: Foundation Dataset and Model for Open-Vocabulary 3D Segmentation—0
MoSAM: Motion-Guided Segment Anything Model with Spatial-Temporal Memory Selection—0
Multi-task Learning To Improve Semantic Segmentation Of CBCT Scans Using Image Reconstruction—0
MOSformer: Momentum encoder-based inter-slice fusion transformer for medical image segmentation—0
MOSMOS: Multi-organ segmentation facilitated by medical report supervision—0
FCN+: Global Receptive Convolution Makes FCN Great Again—0
Motion Informed Needle Segmentation in Ultrasound Images—0
Motion-Aware Transformer For Occluded Person Re-identification—0
A Pixel-Level Meta-Learner for Weakly Supervised Few-Shot Semantic Segmentation—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