SOTAVerified

Segmentation

Papers

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Showing 3051–3075 of 13072 papers

TitleStatusHype
Bottom-Up Instance Segmentation of Catheters for Chest X-Rays—0
An Ensemble of 2.5D ResUnet Based Models for Segmentation for Kidney and Masses—0
Bottleneck Supervised U-Net for Pixel-wise Liver and Tumor Segmentation—0
BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching—0
An Ensemble Approach for Brain Tumor Segmentation and Synthesis—0
Adaptive Weighting Multi-Field-of-View CNN for Semantic Segmentation in Pathology—0
Understanding Spending Behavior: Recurrent Neural Network Explanation and Interpretation—0
Border-SegGCN: Improving Semantic Segmentation by Refining the Border Outline using Graph Convolutional Network—0
An Enhancement Neighborhood connected Segmentation for 2D-Cellular Image—0
3D-Aware Instance Segmentation and Tracking in Egocentric Videos—0
An End-to-End Trainable Video Panoptic Segmentation Method usingTransformers—0
Distribution-Aware Replay for Continual MRI Segmentation—0
An End-to-End, Segmentation-Free, Arabic Handwritten Recognition Model on KHATT—0
4D Light Field Superpixel and Segmentation—0
Discourse-based Argument Segmentation and Annotation—0
An End-to-End Network for Panoptic Segmentation—0
4D-Former: Multimodal 4D Panoptic Segmentation—0
Boosting Semantic Segmentation via Feature Enhancement—0
An End-to-End learnable Flow Regularized Model for Brain Tumor Segmentation—0
Towards annotation-efficient segmentation via image-to-image translation—0
Boosting Segmentation Performance across datasets using histogram specification with application to pelvic bone segmentation—0
Boosting Sclera Segmentation through Semi-supervised Learning with Fewer Labels—0
Boosting Mask R-CNN Performance for Long, Thin Forensic Traces with Pre-Segmentation and IoU Region Merging—0
An End-to-end Entangled Segmentation and Classification Convolutional Neural Network for Periodontitis Stage Grading from Periapical Radiographic Images—0
Adaptive Subarray Segmentation: A New Paradigm of Spatial Non-Stationary Near-Field Channel Estimation for XL-MIMO Systems—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