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Segmentation

Papers

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Showing 9851–9900 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
Transforming Heart Chamber Imaging: Self-Supervised Learning for Whole Heart Reconstruction and Segmentation—0
Transforming the Interactive Segmentation for Medical Imaging—0
TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers—0
TranSiam: Fusing Multimodal Visual Features Using Transformer for Medical Image Segmentation—0
TransLandSeg: A Transfer Learning Approach for Landslide Semantic Segmentation Based on Vision Foundation Model—0
Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network—0
Brain tumour segmentation with incomplete imaging data—0
Transparency Distortion Robustness for SOTA Image Segmentation Tasks—0
TransUPR: A Transformer-based Uncertain Point Refiner for LiDAR Point Cloud Semantic Segmentation—0
TraSeTR: Track-to-Segment Transformer with Contrastive Query for Instance-level Instrument Segmentation in Robotic Surgery—0
TrashCan: A Semantically-Segmented Dataset towards Visual Detection of Marine Debris—0
Treatment-aware Diffusion Probabilistic Model for Longitudinal MRI Generation and Diffuse Glioma Growth Prediction—0
Tree-Cut for Probabilistic Image Segmentation—0
Tree Instance Segmentation With Temporal Contour Graph—0
Tree level change detection over Ahmedabad city using very high resolution satellite images and Deep Learning—0
Tree-NET: Enhancing Medical Image Segmentation Through Efficient Low-Level Feature Training—0
TreeSegNet: Adaptive Tree CNNs for Subdecimeter Aerial Image Segmentation—0
Tree semantic segmentation from aerial image time series—0
TricorNet: A Hybrid Temporal Convolutional and Recurrent Network for Video Action Segmentation—0
TricycleGAN: Unsupervised Image Synthesis and Segmentation Based on Shape Priors—0
Trilateral Attention Network for Real-time Medical Image Segmentation—0
Tri-Plane Mamba: Efficiently Adapting Segment Anything Model for 3D Medical Images—0
MetricUNet: Synergistic Image- and Voxel-Level Learning for Precise CT Prostate Segmentation via Online Sampling—0
Triply Supervised Decoder Networks for Joint Detection and Segmentation—0
TriSAM: Tri-Plane SAM for zero-shot cortical blood vessel segmentation in VEM images—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