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Segmentation

Papers

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Showing 5801–5850 of 13072 papers

TitleStatusHype
A Study on the Use of Edge TPUs for Eye Fundus Image Segmentation—0
Learning-Based Keypoint Registration for Fetoscopic Mosaicking—0
CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous DrivingCode1
Semantic Segmentation for Autonomous Driving: Model Evaluation, Dataset Generation, Perspective Comparison, and Real-Time CapabilityCode0
Exploring Generalizable Distillation for Efficient Medical Image SegmentationCode0
Point2Mask: A Weakly Supervised Approach for Cell Segmentation Using Point Annotation—0
ConvUNeXt: An efficient convolution neural network for medical image segmentationCode0
Transferability limitations for Covid 3D Localization Using SARS-CoV-2 segmentation models in 4D CT images—0
Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic SegmentationCode1
Patchwork++: Fast and Robust Ground Segmentation Solving Partial Under-Segmentation Using 3D Point CloudCode2
SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation RobustnessCode1
Pavementscapes: a large-scale hierarchical image dataset for asphalt pavement damage segmentationCode1
PCA: Semi-supervised Segmentation with Patch Confidence Adversarial Training—0
Active Pointly-Supervised Instance SegmentationCode1
High-Resolution Swin Transformer for Automatic Medical Image SegmentationCode1
Comparative Validation of AI and non-AI Methods in MRI Volumetry to Diagnose Parkinsonian Syndromes—0
Combining Self-Training and Hybrid Architecture for Semi-supervised Abdominal Organ SegmentationCode1
Self-Support Few-Shot Semantic SegmentationCode1
BuyTheDips: PathLoss for improved topology-preserving deep learning-based image segmentationCode0
Adaptive Active Contour Model for Brain Tumor SegmentationCode0
A Real-time Fire Segmentation Method Based on A Deep Learning ApproachCode1
Learning Better Registration to Learn Better Few-Shot Medical Image Segmentation: Authenticity, Diversity, and Robustness—0
Latent Space Unsupervised Semantic Segmentation—0
DeVIS: Making Deformable Transformers Work for Video Instance SegmentationCode1
Long-tailed Instance Segmentation using Gumbel Optimized LossCode1
Physiology-based simulation of the retinal vasculature enables annotation-free segmentation of OCT angiographsCode1
Geodesic-Former: a Geodesic-Guided Few-shot 3D Point Cloud Instance SegmenterCode1
Deep Statistic Shape Model for Myocardium Segmentation—0
COBRA: Cpu-Only aBdominal oRgan segmentAtion—0
Region Aware Video Object Segmentation with Deep Motion Modeling—0
In Defense of Online Models for Video Instance SegmentationCode2
An Efficient Framework for Few-shot Skeleton-based Temporal Action Segmentation—0
Spotting Temporally Precise, Fine-Grained Events in VideoCode1
Latent Discriminant deterministic UncertaintyCode1
DecoupleNet: Decoupled Network for Domain Adaptive Semantic SegmentationCode1
Liver Segmentation using Turbolift Learning for CT and Cone-beam C-arm Perfusion ImagingCode0
CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR SegmentationCode1
Learning Topological Interactions for Multi-Class Medical Image SegmentationCode1
GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR SegmentationCode1
Pseudo-label Guided Cross-video Pixel Contrast for Robotic Surgical Scene Segmentation with Limited Annotations—0
Large-Kernel Attention for 3D Medical Image Segmentation—0
You Actually Look Twice At it (YALTAi): using an object detection approach instead of region segmentation within the Kraken engineCode1
The Dice loss in the context of missing or empty labels: Introducing Φ and εCode1
Segmentation of 3D Dental Images Using Deep Learning—0
Dual Adaptive Transformations for Weakly Supervised Point Cloud Segmentation—0
KinD-LCE Curve Estimation And Retinex Fusion On Low-Light Image—0
Vision Transformers: From Semantic Segmentation to Dense PredictionCode3
Global and Local Features through Gaussian Mixture Models on Image Semantic SegmentationCode0
Self-Supervised Interactive Object Segmentation Through a Singulation-and-Grasping Approach—0
Box-supervised Instance Segmentation with Level Set EvolutionCode2
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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