SOTAVerified

Segmentation

Papers

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Showing 10401–10425 of 13072 papers

TitleStatusHype
Nuclei panoptic segmentation and composition regression with multi-task deep neural networks—0
Improving Robustness of Semantic Segmentation to Motion-Blur Using Class-Centric Augmentation—0
Improving Segment Anything on the Fly: Auxiliary Online Learning and Adaptive Fusion for Medical Image Segmentation—0
3D segmentation of mandible from multisectional CT scans by convolutional neural networks—0
Improving Segmentation of Breast Ultrasound Images: Semi Automatic Two Pointers Histogram Splitting Technique—0
A Bayesian approach to tissue-fraction estimation for oncological PET segmentation—0
An error correction scheme for improved air-tissue boundary in real-time MRI video for speech production—0
Improving Semantic Segmentation through Spatio-Temporal Consistency Learned from Videos—0
An Ensemble of 2.5D ResUnet Based Models for Segmentation for Kidney and Masses—0
Improving Semantic Segmentation via Dilated Affinity—0
Improving Semantic Segmentation via Self-Training—0
An Ensemble Approach for Brain Tumor Segmentation and Synthesis—0
An Enhancement Neighborhood connected Segmentation for 2D-Cellular Image—0
Improving Semi-Supervised Semantic Segmentation with Sliced-Wasserstein Feature Alignment and Uniformity—0
An End-to-End Trainable Video Panoptic Segmentation Method usingTransformers—0
Improving Small Lesion Segmentation in CT Scans using Intensity Distribution Supervision: Application to Small Bowel Carcinoid Tumor—0
Improving Spatial Codification in Semantic Segmentation—0
Nuclei Segmentation in Histopathology Images using Deep Learning with Local and Global Views—0
Improving Streaming Video Segmentation with Early and Mid-Level Visual Processing—0
Improving task-specific representation via 1M unlabelled images without any extra knowledge—0
Nuclei Segmentation In Microscope Cell Images: A Hand-Segmented Dataset And Comparison Of Algorithms—0
An End-to-End, Segmentation-Free, Arabic Handwritten Recognition Model on KHATT—0
3D Segmentation of Humans in Point Clouds with Synthetic Data—0
Improving the Scan-rescan Precision of AI-based CMR Biomarker Estimation—0
Improving the Segmentation of Anatomical Structures in Chest Radiographs using U-Net with an ImageNet Pre-trained Encoder—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