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Segmentation

Papers

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Showing 9451–9475 of 13072 papers

TitleStatusHype
AinnoSeg: Panoramic Segmentation with High Perfomance—0
One Click Lesion RECIST Measurement and Segmentation on CT Scans—0
Can we cover navigational perception needs of the visually impaired by panoptic segmentation?—0
Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-Supervised Medical Image Segmentation—0
Unified cross-modality feature disentangler for unsupervised multi-domain MRI abdomen organs segmentation—0
E^2Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans—0
Class-wise Dynamic Graph Convolution for Semantic Segmentation—0
Beyond Single Stage Encoder-Decoder Networks: Deep Decoders for Semantic Image Segmentation—0
ICA-UNet: ICA Inspired Statistical UNet for Real-time 3D Cardiac Cine MRI Segmentation—0
Multi-Task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification—0
Feature Pyramid Transformer—0
Few-Shot Defect Segmentation Leveraging Abundant Normal Training Samples Through Normal Background Regularization and Crop-and-Paste Operation—0
Weakly Supervised Instance Segmentation by Learning Annotation Consistent Instances—0
Towards Emergent Language Symbolic Semantic Segmentation and Model Interpretability—0
Synthetic and Real Inputs for Tool Segmentation in Robotic Surgery—0
Superpixel-Guided Label Softening for Medical Image Segmentation—0
Edge-Preserving Guided Semantic Segmentation for VIPriors Challenge—0
CASNet: Common Attribute Support Network for image instance and panoptic segmentation—0
Deep Small Bowel Segmentation with Cylindrical Topological Constraints—0
MTP: Multi-Task Pruning for Efficient Semantic Segmentation Networks—0
U-Net Based Architecture for an Improved Multiresolution Segmentation in Medical Images—0
TrashCan: A Semantically-Segmented Dataset towards Visual Detection of Marine Debris—0
Retinal Image Segmentation with a Structure-Texture Demixing Network—0
The Notary in the Haystack -- Countering Class Imbalance in Document Processing with CNNs—0
Automatic Image Labelling at Pixel Level—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