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Segmentation

Papers

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Showing 5101–5150 of 13072 papers

TitleStatusHype
Novel Deep Learning Framework For Bovine Iris SegmentationCode0
Reversible Column NetworksCode2
On Calibrating Semantic Segmentation Models: Analyses and An AlgorithmCode1
DuAT: Dual-Aggregation Transformer Network for Medical Image SegmentationCode1
Investigation of Network Architecture for Multimodal Head-and-Neck Tumor Segmentation—0
TMS-Net: A Segmentation Network Coupled With A Run-time Quality Control Method For Robust Cardiac Image SegmentationCode0
Generalized Decoding for Pixel, Image, and LanguageCode3
Multi-planar 3D knee MRI segmentation via UNet inspired architecturesCode0
Video Segmentation Learning Using Cascade Residual Convolutional Neural Network—0
C2F-TCN: A Framework for Semi and Fully Supervised Temporal Action Segmentation—0
UniDA3D: Unified Domain Adaptive 3D Semantic Segmentation PipelineCode1
Which Pixel to Annotate: a Label-Efficient Nuclei Segmentation FrameworkCode1
Eff-3DPSeg: 3D organ-level plant shoot segmentation using annotation-efficient point clouds—0
DGNet: Distribution Guided Efficient Learning for Oil Spill Image Segmentation—0
Panoptic Lifting for 3D Scene Understanding with Neural FieldsCode2
SegAugment: Maximizing the Utility of Speech Translation Data with Segmentation-based AugmentationsCode0
Segmentation Ability Map: Interpret deep features for medical image segmentationCode1
Fake it, Mix it, Segment it: Bridging the Domain Gap Between Lidar Sensors—0
Building Height Prediction with Instance Segmentation—0
Leveraging Road Area Semantic Segmentation with Auxiliary Steering Task—0
3D Point Cloud Pre-training with Knowledge Distillation from 2D Images—0
Fully and Weakly Supervised Referring Expression Segmentation with End-to-End Learning—0
Improving Unsupervised Video Object Segmentation with Motion-Appearance Synergy—0
Annotation by Clicks: A Point-Supervised Contrastive Variance Method for Medical Semantic Segmentation—0
Analysis and application of multispectral data for water segmentation using machine learningCode0
Lightweight integration of 3D features to improve 2D image segmentationCode0
Atrous Space Bender U-Net (ASBU-Net/LogiNet)—0
Context Label Learning: Improving Background Class Representations in Semantic SegmentationCode1
CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic SegmentationCode2
Solve the Puzzle of Instance Segmentation in Videos: A Weakly Supervised Framework with Spatio-Temporal Collaboration—0
Urban Scene Semantic Segmentation with Low-Cost Coarse Annotation—0
Learning a Fast 3D Spectral Approach to Object Segmentation and Tracking over Space and Time—0
Two-stage Contextual Transformer-based Convolutional Neural Network for Airway Extraction from CT ImagesCode1
SBSS: Stacking-Based Semantic Segmentation Framework for Very High Resolution Remote Sensing Image—0
Multi-task Fusion for Efficient Panoptic-Part Segmentation—0
EM-Paste: EM-guided Cut-Paste with DALL-E Augmentation for Image-level Weakly Supervised Instance SegmentationCode1
Towards fully automated deep-learning-based brain tumor segmentation: is brain extraction still necessary?Code0
Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic ExpertsCode0
M-GenSeg: Domain Adaptation For Target Modality Tumor Segmentation With Annotation-Efficient SupervisionCode0
Fully Complex-valued Fully Convolutional Multi-feature Fusion Network (FC2MFN) for Building Segmentation of InSAR images—0
Body Segmentation Using Multi-task Learning—0
DA Wand: Distortion-Aware Selection using Neural Mesh ParameterizationCode1
Connectivity-constrained Interactive Panoptic Segmentation—0
GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group PropagationCode1
Towards Deeper and Better Multi-view Feature Fusion for 3D Semantic Segmentation—0
Look Before You Match: Instance Understanding Matters in Video Object Segmentation—0
Efficient Bayesian Uncertainty Estimation for nnU-Net—0
Robust Perception through EquivarianceCode0
DeepCut: Unsupervised Segmentation using Graph Neural Networks ClusteringCode1
YoloCurvSeg: You Only Label One Noisy Skeleton for Vessel-style Curvilinear Structure SegmentationCode1
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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