SOTAVerified

Segmentation

Papers

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Showing 6826–6850 of 13072 papers

TitleStatusHype
Learning with Hierarchical Complement Objective—0
ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference—0
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation—0
Deep Learning for Semantic Part Segmentation with High-Level Guidance—0
Amodal Segmentation for Laparoscopic Surgery Video Instruments—0
MASSM: An End-to-End Deep Learning Framework for Multi-Anatomy Statistical Shape Modeling Directly From Images—0
Automatic Segmentation of Left Ventricle in Cardiac Magnetic Resonance Images—0
Learn the new, keep the old: Extending pretrained models with new anatomy and images—0
Learn to Learn Metric Space for Few-Shot Segmentation of 3D Shapes—0
Fool Me Once: Robust Selective Segmentation via Out-of-Distribution Detection with Contrastive Learning—0
Learn to Segment Organs with a Few Bounding Boxes—0
Active Image Segmentation Propagation—0
Learn to segment single cells with deep distance estimator and deep cell detector—0
FoodMem: Near Real-time and Precise Food Video Segmentation—0
Deep Learning Framework with Multi-Head Dilated Encoders for Enhanced Segmentation of Cervical Cancer on Multiparametric Magnetic Resonance Imaging—0
Left/Right Hand Segmentation in Egocentric Videos—0
Deep Learning from Dual-Energy Information for Whole-Heart Segmentation in Dual-Energy and Single-Energy Non-Contrast-Enhanced Cardiac CT—0
FoodLMM: A Versatile Food Assistant using Large Multi-modal Model—0
Left Ventricle Quantification Using Direct Regression with Segmentation Regularization and Ensembles of Pretrained 2D and 3D CNNs—0
Left Ventricle Segmentation and Quantification from Cardiac Cine MR Images via Multi-task Learning—0
Left Ventricle Segmentation via Optical-Flow-Net from Short-axis Cine MRI: Preserving the Temporal Coherence of Cardiac Motion—0
FOMTrace: Interactive Video Segmentation By Image Graphs and Fuzzy Object Models—0
FODVid: Flow-guided Object Discovery in Videos—0
Focus, Segment and Erase: An Efficient Network for Multi-Label Brain Tumor Segmentation—0
Class-wise Dynamic Graph Convolution for Semantic 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