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Segmentation

Papers

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Showing 12101–12150 of 13072 papers

TitleStatusHype
A dynamic graph-cuts method with integrated multiple feature maps for segmenting kidneys in ultrasound images—0
Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Network—0
BiSeg: Simultaneous Instance Segmentation and Semantic Segmentation with Fully Convolutional Networks—0
Incorporating Network Built-in Priors in Weakly-supervised Semantic Segmentation—0
SegAN: Adversarial Network with Multi-scale L_1 Loss for Medical Image SegmentationCode0
Neural Network-Based Automatic Liver Tumor Segmentation With Random Forest-Based Candidate Filtering—0
Motor, un outil de segmentation accessible en ligne (Motor, a segmentation tool accessible online)—0
Line Profile Based Segmentation Algorithm for Touching Corn Kernels—0
Neuron Segmentation Using Deep Complete Bipartite Networks—0
Nighttime sky/cloud image segmentationCode0
Fully Automatic Segmentation and Objective Assessment of Atrial Scars for Longstanding Persistent Atrial Fibrillation Patients Using Late Gadolinium-Enhanced MRI—0
Algorithmic clothing: hybrid recommendation, from street-style-to-shop—0
Weakly Supervised Semantic Segmentation Based on Web Image Co-segmentation—0
Stochastic Sequential Neural Networks with Structured Inference—0
GridNet with automatic shape prior registration for automatic MRI cardiac segmentation—0
The Lovász-Softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networksCode2
3D Convolutional Neural Networks for Brain Tumor Segmentation: A Comparison of Multi-resolution Architectures—0
Optimal Multi-Object Segmentation with Novel Gradient Vector Flow Based Shape Priors—0
TricorNet: A Hybrid Temporal Convolutional and Recurrent Network for Video Action Segmentation—0
DepthCut: Improved Depth Edge Estimation Using Multiple Unreliable Channels—0
Recurrent Scene Parsing with Perspective Understanding in the LoopCode0
Simultaneous Multiple Surface Segmentation Using Deep Learning—0
A New 3D Segmentation Technique for QCT Scans of the Lumbar Spine to Determine BMD and Vertebral Geometry—0
A New 3D Method to Segment the Lumbar Vertebral Bodies and to Determine Bone Mineral Density and Geometry—0
A New 3D Segmentation Methodology for Lumbar Vertebral Bodies for the Measurement of BMD and Geometry—0
Model-based Catheter Segmentation in MRI-images—0
Pixel Deconvolutional NetworksCode0
CardiacNET: Segmentation of Left Atrium and Proximal Pulmonary Veins from MRI Using Multi-View CNN—0
Gland Segmentation in Histopathology Images Using Random Forest Guided Boundary Construction—0
Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs—0
Combination of Hidden Markov Random Field and Conjugate Gradient for Brain Image Segmentation—0
Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks—0
Deep Projective 3D Semantic SegmentationCode1
Building Morphological Chains for Agglutinative Languages—0
Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data—0
Neural Word Segmentation with Rich PretrainingCode0
Automatic Real-time Background Cut for Portrait Videos—0
Unbiased Shape Compactness for SegmentationCode0
No More Discrimination: Cross City Adaptation of Road Scene SegmentersCode0
Improving Facial Attribute Prediction using Semantic Segmentation—0
ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesCode0
Airway segmentation from 3D chest CT volumes based on volume of interest using gradient vector flow—0
New region force for variational models in image segmentation and high dimensional data clustering—0
Adversarial Multi-Criteria Learning for Chinese Word Segmentation—0
Joint Sequence Learning and Cross-Modality Convolution for 3D Biomedical Segmentation—0
Perivascular Spaces Segmentation in Brain MRI Using Optimal 3D Filtering—0
Fast and Accurate Neural Word Segmentation for ChineseCode0
A Trie-Structured Bayesian Model for Unsupervised Morphological Segmentation—0
Automatic Liver Lesion Segmentation Using A Deep Convolutional Neural Network Method—0
A Review on Deep Learning Techniques Applied to Semantic SegmentationCode0
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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