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Segmentation

Papers

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Showing 5976–6000 of 13072 papers

TitleStatusHype
Automatic Word Segmentation and Part-of-Speech Tagging of Ancient Chinese Based on BERT Model—0
Deep Smoke Segmentation—0
Deep Small Bowel Segmentation with Cylindrical Topological Constraints—0
Automatic Volumetric Segmentation of Additive Manufacturing Defects with 3D U-Net—0
A multi-organ point cloud registration algorithm for abdominal CT registration—0
Deep Sequential Segmentation of Organs in Volumetric Medical Scans—0
Automatic video scene segmentation based on spatial-temporal clues and rhythm—0
Deep semi-supervised segmentation with weight-averaged consistency targets—0
Automatic Video Object Segmentation via Motion-Appearance-Stream Fusion and Instance-aware Segmentation—0
Deep Semantic Segmentation of Natural and Medical Images: A Review—0
Automatic ultrasound vessel segmentation with deep spatiotemporal context learning—0
Deep Semantic Segmentation for Automated Driving: Taxonomy, Roadmap and Challenges—0
Automatic tumour segmentation in H&E-stained whole-slide images of the pancreas—0
A multi-objective optimization approach for brain MRI segmentation using fuzzy entropy clustering and region-based active contour methods—0
Active Self-Training for Weakly Supervised 3D Scene Semantic Segmentation—0
Deep Semantic Instance Segmentation of Tree-like Structures Using Synthetic Data—0
Deep Self-Cleansing for Medical Image Segmentation with Noisy Labels—0
Automatic Traffic Sign Detection and Recognition Using SegU-Net and a Modified Tversky Loss Function With L1-Constraint—0
DeepSDCS: Dissecting cancer proliferation heterogeneity in Ki67 digital whole slide images—0
Automatic Tissue Segmentation with Deep Learning in Patients with Congenital or Acquired Distortion of Brain Anatomy—0
A Multimodal Framework for Video Ads Understanding—0
Active Mean Fields for Probabilistic Image Segmentation: Connections with Chan-Vese and Rudin-Osher-Fatemi Models—0
Deep Retinal Image Segmentation with Regularization Under Geometric Priors—0
Automatic Text Line Segmentation Directly in JPEG Compressed Document Images—0
Deep Residual 3D U-Net for Joint Segmentation and Texture Classification of Nodules in Lung—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