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Segmentation

Papers

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Showing 11726–11750 of 13072 papers

TitleStatusHype
A deep deformable residual learning network for SAR images segmentation—0
MCICSAM: Monte Carlo-guided Interpolation Consistency Segment Anything Model for Semi-Supervised Prostate Zone Segmentation—0
MCMC Guided CNN Training and Segmentation for Pancreas Extraction—0
MCMC Shape Sampling for Image Segmentation with Nonparametric Shape Priors—0
A Deep Active Contour Model for Delineating Glacier Calving Fronts—0
A Decoupled Uncertainty Model for MRI Segmentation Quality Estimation—0
Optimal Transport Driven Asymmetric Image-to-Image Translation for Nuclei Segmentation of Histological Images—0
mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets—0
MDA-Net: Multi-Dimensional Attention-Based Neural Network for 3D Image Segmentation—0
Optimal Word Segmentation for Neural Machine Translation into Dravidian Languages—0
MDFI-Net: Multiscale Differential Feature Interaction Network for Accurate Retinal Vessel Segmentation—0
MDNet: Multi-Decoder Network for Abdominal CT Organs Segmentation—0
MDU-Net: Multi-scale Densely Connected U-Net for biomedical image segmentation—0
A Decoding Scheme with Successive Aggregation of Multi-Level Features for Light-Weight Semantic Segmentation—0
Meaningful Objects Segmentation from SAR Images via A Multi-Scale Non-Local Active Contour Model—0
Meaningless yet meaningful: Morphology grounded subword-level NMT—0
Addressing intra-area oscillations and frequency stability after DC segmentation of a large AC power system—0
Measures and Meta-Measures for the Supervised Evaluation of Image Segmentation—0
Measuring uncertainty in human visual segmentation—0
Med-2D SegNet: A Light Weight Deep Neural Network for Medical 2D Image Segmentation—0
Addressing Domain Adaptation for Chinese Word Segmentation with Global Recurrent Structure—0
Optimization for Medical Image Segmentation: Theory and Practice when evaluating with Dice Score or Jaccard Index—0
Addressing Background Context Bias in Few-Shot Segmentation through Iterative Modulation—0
Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift—0
A Dataset for Semantic Segmentation in the Presence of Unknowns—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