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Segmentation

Papers

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Showing 5901–5925 of 13072 papers

TitleStatusHype
Fused Text Segmentation Networks for Multi-oriented Scene Text Detection—0
Co-segmentation for Space-Time Co-located Collections—0
Fuse4Seg: Image-Level Fusion Based Multi-Modality Medical Image Segmentation—0
CNN-based Semantic Segmentation using Level Set Loss—0
A SAM based Tool for Semi-Automatic Food Annotation—0
Joint Optical Flow and Temporally Consistent Semantic Segmentation—0
Joint Person Segmentation and Identification in Synchronized First- and Third-person Videos—0
Improving and Assessing Anomaly Detectors for Large-Scale Settings—0
AdaCoSeg: Adaptive Shape Co-Segmentation with Group Consistency Loss—0
Improving automated segmentation of radio shows with audio embeddings—0
FUN-SIS: a Fully UNsupervised approach for Surgical Instrument Segmentation—0
A SAM-based Solution for Hierarchical Panoptic Segmentation of Crops and Weeds Competition—0
Improving Brain Magnetic Resonance Image MRI Segmentation via a Novel Algorithm based on Genetic and Regional Growth—0
Improving Building Segmentation for Off-Nadir Satellite Imagery—0
Fundus Image Analysis for Age Related Macular Degeneration: ADAM-2020 Challenge Report—0
Improving CCTA based lesions' hemodynamic significance assessment by accounting for partial volume modeling in automatic coronary lumen segmentation—0
Improving Chinese Segmentation-free Word Embedding With Unsupervised Association Measure—0
Improving Classification Model Performance on Chest X-Rays through Lung Segmentation—0
FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images—0
CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study—0
Adversarial Transformer for Repairing Human Airway Segmentation—0
Improving Dense Contrastive Learning with Dense Negative Pairs—0
Functional Segmentation through Dynamic Mode Decomposition: Automatic Quantification of Kidney Function in DCE-MRI Images—0
CNN-based Preprocessing to Optimize Watershed-based Cell Segmentation in 3D Confocal Microscopy Images—0
Artistic Instance-Aware Image Filtering by Convolutional Neural Networks—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