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Segmentation

Papers

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Showing 5676–5700 of 13072 papers

TitleStatusHype
Discriminative Lexical Semantic Segmentation with Gaps: Running the MWE Gamut—0
Bend-Net: Bending Loss Regularized Multitask Learning Network for Nuclei Segmentation in Histopathology Images—0
Anatomically-Informed Deep Learning on Contrast-Enhanced Cardiac MRI for Scar Segmentation and Clinical Feature Extraction—0
Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge—0
Discrete Potts Model for Generating Superpixels on Noisy Images—0
Benchmarking the Spatial Robustness of DNNs via Natural and Adversarial Localized Corruptions—0
Anatomically Constrained Tractography of the Fetal Brain—0
Discretely-constrained deep network for weakly supervised segmentation—0
Discrete-Continuous Gradient Orientation Estimation for Faster Image Segmentation—0
Benchmarking the Robustness of Semantic Segmentation Models—0
Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs—0
Benchmarking the Robustness of Panoptic Segmentation for Automated Driving—0
Discovering the Physical Parts of an Articulated Object Class From Multiple Videos—0
Understanding Spending Behavior: Recurrent Neural Network Explanation and Interpretation—0
Discovering Latent Classes for Semi-Supervised Semantic Segmentation—0
Benchmarking the Robustness of Instance Segmentation Models—0
Anatomically Consistent Segmentation of Organs at Risk in MRI with Convolutional Neural Networks—0
Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation—0
Discourse-based Argument Segmentation and Annotation—0
Enforcing View-Consistency in Class-Agnostic 3D Segmentation Fields—0
DISCOMAN: Dataset of Indoor SCenes for Odometry, Mapping And Navigation—0
Practical Guidelines for Cell Segmentation Models Under Optical Aberrations in Microscopy—0
Direct White Matter Bundle Segmentation using Stacked U-Nets—0
Direct segmentation of brain white matter tracts in diffusion MRI—0
Anatomical Consistency Distillation and Inconsistency Synthesis for Brain Tumor Segmentation with Missing Modalities—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