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Segmentation

Papers

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Showing 6451–6475 of 13072 papers

TitleStatusHype
Uncertainty Driven Bottleneck Attention U-net for Organ at Risk SegmentationCode0
Less is More: Unsupervised Mask-guided Annotated CT Image Synthesis with Minimum Manual Segmentations—0
A Radiomics-Incorporated Deep Ensemble Learning Model for Multi-Parametric MRI-based Glioma Segmentation—0
Boundary-aware Supervoxel-level Iteratively Refined Interactive 3D Image Segmentation with Multi-agent Reinforcement Learning—0
Edge-aware Plug-and-play Scheme for Semantic Segmentation—0
Lung segmentation with NASNet-Large-Decoder NetCode0
DUDES: Deep Uncertainty Distillation using Ensembles for Semantic Segmentation—0
Unified Mask Embedding and Correspondence Learning for Self-Supervised Video SegmentationCode0
Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation—0
Remote Task-oriented Grasp Area Teaching By Non-Experts through Interactive Segmentation and Few-Shot LearningCode0
SwinVFTR: A Novel Volumetric Feature-learning Transformer for 3D OCT Fluid SegmentationCode0
GDDS: Pulmonary Bronchioles Segmentation with Group Deep Dense Supervision—0
SpiderMesh: Spatial-aware Demand-guided Recursive Meshing for RGB-T Semantic SegmentationCode0
SegPrompt: Using Segmentation Map as a Better Prompt to Finetune Deep Models for Kidney Stone Classification—0
PENet: A Joint Panoptic Edge Detection NetworkCode0
Implicit Ray-Transformers for Multi-view Remote Sensing Image Segmentation—0
Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection—0
Panoptic One-Click Segmentation: Applied to Agricultural Data—0
LoG-CAN: local-global Class-aware Network for semantic segmentation of remote sensing images—0
MS-TCRNet: Multi-Stage Temporal Convolutional Recurrent Networks for Action Segmentation Using Sensor-Augmented KinematicsCode0
Exploring Weakly Supervised Semantic Segmentation Ensembles for Medical Imaging SystemsCode0
ISLE: A Framework for Image Level Semantic Segmentation EnsembleCode0
SILOP: An Automated Framework for Semantic Segmentation Using Image Labels Based on Object PerimetersCode0
HALOS: Hallucination-free Organ Segmentation after Organ Resection SurgeryCode0
Class-level Multiple Distributions Representation are Necessary for Semantic Segmentation—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