One-Shot Segmentation
17 papers with code • 1 benchmarks • 3 datasets
( Image credit: One-Shot Learning for Semantic Segmentation )
Benchmarks
These leaderboards are used to track progress in One-Shot Segmentation
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
|
Omniglot
UMD-i Affrodance Dataset
Latest papers with no code
Group-On: Boosting One-Shot Segmentation with Supportive Query
One-shot semantic segmentation aims to segment query images given only ONE annotated support image of the same class.
DeepATLAS: One-Shot Localization for Biomedical Data
This paper introduces the DeepATLAS foundational model for localization tasks in the domain of high-dimensional biomedical data.
Prototype-Based Approach for One-Shot Segmentation of Brain Tumors using Few-Shot Learning
In order to distinguish the query images from the class prototypes, we employ a metric learning-based approach that relies on non-parametric thresholds.
Generalized Organ Segmentation by Imitating One-shot Reasoning using Anatomical Correlation
In this paper, we show that such process can be integrated into the one-shot segmentation task which is a very challenging but meaningful topic.
LT-Net: Label Transfer by Learning Reversible Voxel-wise Correspondence for One-shot Medical Image Segmentation
We introduce a one-shot segmentation method to alleviate the burden of manual annotation for medical images.
How to learn from unlabeled volume data: Self-Supervised 3D Context Feature Learning
The vast majority of 3D medical images lacks detailed image-based expert annotations.
CNN in MRF: Video Object Segmentation via Inference in A CNN-Based Higher-Order Spatio-Temporal MRF
With temporal dependencies established by optical flow, the resulting MRF model combines both spatial and temporal cues for tackling video object segmentation.
