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Segmentation

Papers

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Showing 8951–9000 of 13072 papers

TitleStatusHype
EVOPS Benchmark: Evaluation of Plane Segmentation from RGBD and LiDAR Data—0
EV-SegNet: Semantic Segmentation for Event-based Cameras—0
EXACT-Net:EHR-guided lung tumor auto-segmentation for non-small cell lung cancer radiotherapy—0
Exclusive Independent Probability Estimation using Deep 3D Fully Convolutional DenseNets: Application to IsoIntense Infant Brain MRI Segmentation—0
Exemplar-Based Face Parsing—0
Automated Kidney Segmentation by Mask R-CNN in T2-weighted Magnetic Resonance Imaging—0
Exemplar-FreeSOLO: Enhancing Unsupervised Instance Segmentation With Exemplars—0
Exemplar Learning for Medical Image Segmentation—0
ExFuse: Enhancing Feature Fusion for Semantic Segmentation—0
Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization—0
Minimizing Labeling Effort for Tree Skeleton Segmentation using an Automated Iterative Training Methodology—0
Expectation-Maximization Regularized Deep Learning for Weakly Supervised Tumor Segmentation for Glioblastoma—0
Multi-Spectral Imaging via Computed Tomography (MUSIC) - Comparing Unsupervised Spectral Segmentations for Material Differentiation—0
Automated ischemic stroke lesion segmentation from 3D MRI—0
Expedition: A System for the Unsupervised Learning of a Hierarchy of Concepts—0
Experimental analysis regarding the influence of iris segmentation on the recognition rate—0
Experimental Framework for Generating Reliable Ground Truth for Laryngeal Spatial Segmentation Tasks—0
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey—0
A Benchmark for Out of Distribution Detection in Point Cloud 3D Semantic Segmentation—0
A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI—0
Explainable Semantic Medical Image Segmentation with Style—0
Explaining Deep Models through Forgettable Learning Dynamics—0
Explanations of Classifiers Enhance Medical Image Segmentation via End-to-end Pre-training—0
Automated Inline Analysis of Myocardial Perfusion MRI with Deep Learning—0
Explicit Motion Handling and Interactive Prompting for Video Camouflaged Object Detection—0
Multi-stage Deep Layer Aggregation for Brain Tumor Segmentation—0
Explicit topological priors for deep-learning based image segmentation using persistent homology—0
Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data—0
Exploiting bilateral symmetry in brain lesion segmentation—0
Exploiting Clinically Available Delineations for CNN-based Segmentation in Radiotherapy Treatment Planning—0
Exploiting CNNs for Semantic Segmentation with Pascal VOC—0
Exploiting Depth from Single Monocular Images for Object Detection and Semantic Segmentation—0
Exploiting Discourse-Level Segmentation for Extractive Summarization—0
Multi-Stage Fusion for One-Click Segmentation—0
Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks—0
Exploiting Inter-pixel Correlations in Unsupervised Domain Adaptation for Semantic Segmentation—0
Exploiting machine algorithms in vocalic quantification of African English corpora—0
Exploiting Negative Learning for Implicit Pseudo Label Rectification in Source-Free Domain Adaptive Semantic Segmentation—0
Exploiting Object-based and Segmentation-based Semantic Features for Deep Learning-based Indoor Scene Classification—0
Multi-stage Multi-recursive-input Fully Convolutional Networks for Neuronal Boundary Detection—0
Exploiting Richness of Learned Compressed Representation of Images for Semantic Segmentation—0
Exploiting Semantics in Adversarial Training for Image-Level Domain Adaptation—0
Exploiting Shape Cues for Weakly Supervised Semantic Segmentation—0
Exploiting Shared Knowledge from Non-COVID Lesions for Annotation-Efficient COVID-19 CT Lung Infection Segmentation—0
Multi-stage Object Detection with Group Recursive Learning—0
Automated image segmentation for detecting cell spreading for metastasizing assessments of cancer development—0
Exploiting XAI maps to improve MS lesion segmentation and detection in MRI—0
Exploration of Multi-Scale Image Fusion Systems in Intelligent Medical Image Analysis—0
Exploration of Optimized Semantic Segmentation Architectures for edge-Deployment on Drones—0
Explore In-Context Segmentation via Latent Diffusion Models—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