SOTAVerified

Segmentation

Papers

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Showing 8551–8575 of 13072 papers

TitleStatusHype
PixelBNN: Augmenting the PixelCNN with batch normalization and the presentation of a fast architecture for retinal vessel segmentation—0
Pixel-level Intra-domain Adaptation for Semantic Segmentation—0
Annotation-Efficient Polyp Segmentation via Active Learning—0
Enhancing Transformer-Based Segmentation for Breast Cancer Diagnosis using Auto-Augmentation and Search Optimisation Techniques—0
Enhancing Transformer Backbone for Egocentric Video Action Segmentation—0
C2F-TCN: A Framework for Semi and Fully Supervised Temporal Action Segmentation—0
PINN-EMFNet: PINN-based and Enhanced Multi-Scale Feature Fusion Network for Breast Ultrasound Images Segmentation—0
A Deep Learning Based Workflow for Detection of Lung Nodules With Chest Radiograph—0
A Deep Learning Driven Active Framework for Segmentation of Large 3D Shape Collections—0
PIMMS: Permutation Invariant Multi-Modal Segmentation—0
Enhancing Skin Disease Diagnosis: Interpretable Visual Concept Discovery with SAM—0
Deep Structure Learning using Feature Extraction in Trained Projection Space—0
Enhancing Single-Slice Segmentation with 3D-to-2D Unpaired Scan Distillation—0
Enhancing Shape Perception and Segmentation Consistency for Industrial Image Inspection—0
BusyHands: A Hand-Tool Interaction Database for Assembly Tasks Semantic Segmentation—0
Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation—0
Enhancing Rock Image Segmentation in Digital Rock Physics: A Fusion of Generative AI and State-of-the-Art Neural Networks—0
BUSU-Net: An Ensemble U-Net Framework for Medical Image Segmentation—0
Annotation-Efficient Learning for Medical Image Segmentation based on Noisy Pseudo Labels and Adversarial Learning—0
Enhancing road signs segmentation using photometric invariants—0
BundleSeg: A versatile, reliable and reproducible approach to white matter bundle segmentation—0
Enhancing Prostate Cancer Diagnosis with Deep Learning: A Study using mpMRI Segmentation and Classification—0
Enhancing Privacy: The Utility of Stand-Alone Synthetic CT and MRI for Tumor and Bone Segmentation—0
Annotation by Clicks: A Point-Supervised Contrastive Variance Method for Medical Semantic Segmentation—0
PillarSegNet: Pillar-based Semantic Grid Map Estimation using Sparse LiDAR Data—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