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Segmentation

Papers

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Showing 8076–8100 of 13072 papers

TitleStatusHype
Implanting Synthetic Lesions for Improving Liver Lesion Segmentation in CT Exams—0
IMP: Instance Mask Projection for High Accuracy Semantic Segmentation of Things—0
Network-Free, Unsupervised Semantic Segmentation With Synthetic Images—0
Attention-guided Unified Network for Panoptic Segmentation—0
Neural Architecture Search in operational context: a remote sensing case-study—0
Neural Chinese Word Segmentation with Dictionary Knowledge—0
A Ground Segmentation Method Based on Point Cloud Map for Unstructured Roads—0
Neural collaborative filtering for unsupervised mitral valve segmentation in echocardiography—0
A Coarse-to-fine Morphological Approach With Knowledge-based Rules and Self-adapting Correction for Lung Nodules Segmentation—0
Neural Diffusion Distance for Image Segmentation—0
Neural Field Conditioning Strategies for 2D Semantic Segmentation—0
Impact of Spherical Coordinates Transformation Pre-processing in Deep Convolution Neural Networks for Brain Tumor Segmentation and Survival Prediction—0
Neural Graph Matching Networks for Chinese Short Text Matching—0
Impact of Label Types on Training SWIN Models with Overhead Imagery—0
Co-occurrence Background Model with Superpixels for Robust Background Initialization—0
Neural Machine Translation between Myanmar (Burmese) and Rakhine (Arakanese)—0
Impact of individual rater style on deep learning uncertainty in medical imaging segmentation—0
Impact of Image Compression on In Vitro Cell Migration Analysis—0
Neural Network-Based Automatic Liver Tumor Segmentation With Random Forest-Based Candidate Filtering—0
Impact of Automatic Segmentation on the Quality, Productivity and Self-reported Post-editing Effort of Intralingual Subtitles—0
Neural networks for semantic segmentation of historical city maps: Cross-cultural performance and the impact of figurative diversity—0
Convolution Neural Networks for Semantic Segmentation: Application to Small Datasets of Biomedical Images—0
NeuralNetwork-Viterbi: A Framework for Weakly Supervised Video Learning—0
Neural ODEs for Image Segmentation with Level Sets—0
Semantic-Aware Contrastive Learning for Multi-object Medical Image 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