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Segmentation

Papers

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Showing 9026–9050 of 13072 papers

TitleStatusHype
Real-time Progressive 3D Semantic Segmentation for Indoor Scene—0
Real-time Seafloor Segmentation and Mapping—0
Real-time Semantic Image Segmentation via Spatial Sparsity—0
Real-Time Semantic Segmentation: A Brief Survey & Comparative Study in Remote Sensing—0
Real-Time Semantic Segmentation via Auto Depth, Downsampling Joint Decision and Feature Aggregation—0
Reasoning3D -- Grounding and Reasoning in 3D: Fine-Grained Zero-Shot Open-Vocabulary 3D Reasoning Part Segmentation via Large Vision-Language Models—0
Reasoning and Algorithm Selection Augmented Symbolic Segmentation—0
Recalibrating 3D ConvNets with Project & Excite—0
Recalling Holistic Information for Semantic Segmentation—0
Recall is the Proper Evaluation Metric for Word Segmentation—0
ReCal-Net: Joint Region-Channel-Wise Calibrated Network for Semantic Segmentation in Cataract Surgery Videos—0
Recent Advances in Fibrosis and Scar Segmentation from Cardiac MRI: A State-of-the-Art Review and Future Perspectives—0
Recent progress in semantic image segmentation—0
Recent Trends in Linear Text Segmentation: a Survey—0
ReCoGNet: Recurrent Context-Guided Network for 3D MRI Prostate Segmentation—0
Recognition of Handwritten Chinese Text by Segmentation: A Segment-annotation-free Approach—0
Recommender Engine Driven Client Selection in Federated Brain Tumor Segmentation—0
On undesired emergent behaviors in compound prostate cancer detection systems—0
Reconstructing the Forest of Lineage Trees of Diverse Bacterial Communities Using Bio-inspired Image Analysis—0
Reconstruction and Segmentation of Parallel MR Data using Image Domain DEEP-SLR—0
Reconstruction-driven Dynamic Refinement based Unsupervised Domain Adaptation for Joint Optic Disc and Cup Segmentation—0
Recurrent Aggregation Learning for Multi-View Echocardiographic Sequences Segmentation—0
Recurrent convolutional neural networks for mandible segmentation from computed tomography—0
Recurrent Feature Propagation and Edge Skip-Connections for Automatic Abdominal Organ Segmentation—0
Recurrent Fully Convolutional Networks for Video 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