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Segmentation

Papers

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Showing 7176–7200 of 13072 papers

TitleStatusHype
Boundary Distance Loss for Intra-/Extra-meatal Segmentation of Vestibular Schwannoma—0
Self-Supervised Contrastive Representation Learning for 3D Mesh Segmentation—0
Learning from imperfect training data using a robust loss function: application to brain image segmentationCode0
Two-Stream Networks for Object Segmentation in Videos—0
Data-centric AI approach to improve optic nerve head segmentation and localization in OCT en face images—0
Multi-Depth Boundary-Aware Left Atrial Scar Segmentation Network—0
Clustering Optimisation Method for Highly Connected Biological Data—0
Exploiting Shape Cues for Weakly Supervised Semantic Segmentation—0
Ensembled Autoencoder Regularization for Multi-Structure Segmentation for Kidney Cancer Treatment—0
Analyzing Deep Learning Based Brain Tumor Segmentation with Missing MRI Modalities—0
HaloAE: An HaloNet based Local Transformer Auto-Encoder for Anomaly Detection and Localization—0
Exploring the Effects of Data Augmentation for Drivable Area Segmentation—0
Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation—0
Calibrate the inter-observer segmentation uncertainty via diagnosis-first principleCode0
Brain Lesion Synthesis via Progressive Adversarial Variational Auto-Encoder—0
Semantic Segmentation of Fruits on Multi-sensor Fused Data in Natural Orchards—0
Improved post-hoc probability calibration for out-of-domain MRI segmentationCode0
Cluster-to-adapt: Few Shot Domain Adaptation for Semantic Segmentation across Disjoint Labels—0
A Novel Automated Classification and Segmentation for COVID-19 using 3D CT Scans—0
Unsupervised Tissue Segmentation via Deep Constrained Gaussian Network—0
Edge-Based Self-Supervision for Semi-Supervised Few-Shot Microscopy Image Cell Segmentation—0
Multiclass ASMA vs Targeted PGD Attack in Image Segmentation—0
Subject-Specific Lesion Generation and Pseudo-Healthy Synthesis for Multiple Sclerosis Brain ImagesCode0
Curved Geometric Networks for Visual Anomaly Recognition—0
A Robust Morphological Approach for Semantic Segmentation of Very High Resolution Images—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