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Segmentation

Papers

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Showing 12651–12700 of 13072 papers

TitleStatusHype
Cross-Domain Segmentation with Adversarial Loss and Covariate Shift for Biomedical Imaging—0
Cross-Domain Semantic Segmentation via Domain-Invariant Interactive Relation Transfer—0
Cross-Domain Semantic Segmentation with Large Language Model-Assisted Descriptor Generation—0
Boundary Knowledge Translation based Reference Semantic Segmentation—0
Overcoming Resistance: The Normalization of an Amazonian Tribal Language—0
CrossFormer: Cross-Segment Semantic Fusion for Document Segmentation—0
Cross-Frequency Collaborative Training Network and Dataset for Semi-supervised First Molar Root Canal Segmentation—0
Boundary feature fusion network for tooth image segmentation—0
Boundary-Emphasized Weight Maps for Distal Airway Segmentation—0
Cross-lingual and cross-domain discourse segmentation of entire documents—0
MPASNET: Motion Prior-Aware Siamese Network for Unsupervised Deep Crowd Segmentation in Video Scenes—0
MPDIoU: A Loss for Efficient and Accurate Bounding Box Regression—0
An automatic multi-tissue human fetal brain segmentation benchmark using the Fetal Tissue Annotation Dataset—0
MPG-Net: Multi-Prediction Guided Network for Segmentation of Retinal Layers in OCT Images—0
Boundary Distance Loss for Intra-/Extra-meatal Segmentation of Vestibular Schwannoma—0
crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023—0
A Comparison and Strategy of Semantic Segmentation on Remote Sensing Images—0
Boundary Corrected Multi-scale Fusion Network for Real-time Semantic Segmentation—0
Boundary-based MWE segmentation with text partitioning—0
MPS-AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self-Supervised Medical Image Segmentation—0
Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets—0
Cross-Modality Deep Feature Learning for Brain Tumor Segmentation—0
Cross-Modality Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation—0
Cross-modality Knowledge Transfer for Prostate Segmentation from CT Scans—0
Boundary-aware Supervoxel-level Iteratively Refined Interactive 3D Image Segmentation with Multi-agent Reinforcement Learning—0
End-to-End Boundary Aware Networks for Medical Image Segmentation—0
Cross-Modal Self-Attention Distillation for Prostate Cancer Segmentation—0
Cross-modal semantic segmentation for indoor environmental perception using single-chip millimeter-wave radar raw data—0
MPSeg : Multi-Phase strategy for coronary artery Segmentation—0
Cross-model Mutual Learning for Exemplar-based Medical Image Segmentation—0
Crossover-Net: Leveraging the Vertical-Horizontal Crossover Relation for Robust Segmentation—0
Cross Pixel Optical Flow Similarity for Self-Supervised Learning—0
Boundary-aware Instance Segmentation—0
Few-shot Medical Image Segmentation via Cross-Reference Transformer—0
A comparative study of semi- and self-supervised semantic segmentation of biomedical microscopy data—0
Boundary-aware Information Maximization for Self-supervised Medical Image Segmentation—0
Cross-supervised Dual Classifiers for Semi-supervised Medical Image Segmentation—0
Boundary-aware Graph Reasoning for Semantic Segmentation—0
Bottom-Up Segmentation for Top-Down Detection—0
Bottom-up Instance Segmentation using Deep Higher-Order CRFs—0
CROVIA: Seeing Drone Scenes from Car Perspective via Cross-View Adaptation—0
CrowdCam: Dynamic Region Segmentation—0
Crowd Sourcing Image Segmentation with iaSTAPLE—0
MRAnnotator: multi-Anatomy and many-Sequence MRI segmentation of 44 structures—0
Bottom-Up Instance Segmentation of Catheters for Chest X-Rays—0
A comparative study of attention mechanism and generative adversarial network in facade damage segmentation—0
Cs2K: Class-specific and Class-shared Knowledge Guidance for Incremental Semantic Segmentation—0
Bottleneck Supervised U-Net for Pixel-wise Liver and Tumor Segmentation—0
BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching—0
Border-SegGCN: Improving Semantic Segmentation by Refining the Border Outline using Graph Convolutional Network—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