SOTAVerified

One-Shot Segmentation

( Image credit: One-Shot Learning for Semantic Segmentation )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–35 of 35 papers

TitleStatusHype
Data Adaptive Few-shot Multi Label Segmentation with Foundation Model—0
DeepATLAS: One-Shot Localization for Biomedical Data—0
Dense Self-Supervised Learning for Medical Image Segmentation—0
Federated Self-Supervised Learning for One-Shot Cross-Modal and Cross-Imaging Technique Segmentation—0
Generalized Organ Segmentation by Imitating One-shot Reasoning using Anatomical Correlation—0
Group-On: Boosting One-Shot Segmentation with Supportive Query—0
How to learn from unlabeled volume data: Self-Supervised 3D Context Feature Learning—0
LT-Net: Label Transfer by Learning Reversible Voxel-wise Correspondence for One-shot Medical Image Segmentation—0
NubbleDrop: A Simple Way to Improve Matching Strategy for Prompted One-Shot Segmentation—0
Prototype-Based Approach for One-Shot Segmentation of Brain Tumors using Few-Shot Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MaskNetIoU [32 distractors]65.6—Unverified
2Siamese-U-NetIoU [32 distractors]62.4—Unverified