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Segmentation

Papers

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Showing 9851–9875 of 13072 papers

TitleStatusHype
Brain MRI Tumor Segmentation with Adversarial Networks—0
Transfer Deep Learning for Low-Resource Chinese Word Segmentation with a Novel Neural Network—0
Transfer Learning by Asymmetric Image Weighting for Segmentation across Scanners—0
Transfer Learning by Cascaded Network to identify and classify lung nodules for cancer detection—0
Transfer Learning for Brain Tumor Segmentation—0
Transfer Learning for Instance Segmentation of Waste Bottles using Mask R-CNN Algorithm—0
Transfer Learning for Segmentation Problems: Choose the Right Encoder and Skip the Decoder—0
Transfer Learning from Partial Annotations for Whole Brain Segmentation—0
Transfer Learning from Synthetic In-vitro Soybean Pods Dataset for In-situ Segmentation of On-branch Soybean Pod—0
Transfer Learning Through Weighted Loss Function and Group Normalization for Vessel Segmentation from Retinal Images—0
Transferring CLIP's Knowledge into Zero-Shot Point Cloud Semantic Segmentation—0
Transferring Knowledge for Food Image Segmentation using Transformers and Convolutions—0
Transferring learned patterns from ground-based field imagery to predict UAV-based imagery for crop and weed semantic segmentation in precision crop farming—0
Transferring Styles for Reduced Texture Bias and Improved Robustness in Semantic Segmentation Networks—0
Transferring Ultrahigh-Field Representations for Intensity-Guided Brain Segmentation of Low-Field Magnetic Resonance Imaging—0
Transfer Risk Map: Mitigating Pixel-level Negative Transfer in Medical Segmentation—0
Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation—0
Transformer-based Model for Oral Epithelial Dysplasia Segmentation—0
Transformer-based Self-Supervised Fish Segmentation in Underwater Videos—0
Transformer-CNN Fused Architecture for Enhanced Skin Lesion Segmentation—0
Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence—0
Transformers-based architectures for stroke segmentation: A review—0
Transformer Scale Gate for Semantic Segmentation—0
Transformer-Unet: Raw Image Processing with Unet—0
Transformer Utilization in Medical Image Segmentation Networks—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