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Segmentation

Papers

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Showing 9226–9250 of 13072 papers

TitleStatusHype
DoFE: Domain-oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen DatasetsCode0
Fully Automatic Wound Segmentation with Deep Convolutional Neural NetworksCode0
Assessing Lesion Segmentation Bias of Neural Networks on Motion Corrupted Brain MRI—0
H2O-Net: Self-Supervised Flood Segmentation via Adversarial Domain Adaptation and Label Refinement—0
Using Information to Amplify Competition—0
Selective Information Passing for MR/CT Image SegmentationCode0
Hybrid-S2S: Video Object Segmentation with Recurrent Networks and Correspondence MatchingCode0
Contrastive Rendering for Ultrasound Image Segmentation—0
Refining Semantic Segmentation with Superpixel by Transparent Initialization and Sparse EncoderCode0
Frequency and Spatial domain based Saliency for Pigmented Skin Lesion Segmentation—0
Bone Feature Segmentation in Ultrasound Spine Image with Robustness to Speckle and Regular Occlusion Noise—0
Joint COCO and Mapillary Workshop at ICCV 2019: COCO Instance Segmentation Challenge Track—0
Parallax Motion Effect Generation Through Instance Segmentation And Depth Estimation—0
Tackling the Low-resource Challenge for Canonical Segmentation—0
Secure 3D medical Imaging—0
Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective InferenceCode0
Unsupervised Region-based Anomaly Detection in Brain MRI with Adversarial Image Inpainting—0
MetaBox+: A new Region Based Active Learning Method for Semantic Segmentation using Priority Maps—0
Early Detection of Myocardial Infarction in Low-Quality Echocardiography—0
Depth-wise layering of 3d images using dense depth maps: a threshold based approach—0
Towards Cross-modality Medical Image Segmentation with Online Mutual Knowledge Distillation—0
RDCNet: Instance segmentation with a minimalist recurrent residual networkCode0
Morphological segmentation of hyperspectral images—0
A Joint Model for Graph-based Chinese Dependency Parsing—0
Automatic Deep Learning System for COVID-19 Infection Quantification in chest CT—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