Papers with Code 아카이브
One-Shot Segmentation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 1
- 보존된 평가 기록
- 2
<span style="color:grey; opacity: 0.6">( Image credit: One-Shot Learning for Semantic Segmentation )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Federated Self-Supervised Learning for One-Shot Cross-Modal and Cross-Imaging Technique Segmentation
Memory-based Ensemble Learning in CMR Semantic Segmentation
Data Adaptive Few-shot Multi Label Segmentation with Foundation Model
Correlation Weighted Prototype-based Self-Supervised One-Shot Segmentation of Medical Images
One Shot is Enough for Sequential Infrared Small Target Segmentation
Dense Self-Supervised Learning for Medical Image Segmentation
Deep ContourFlow: Advancing Active Contours with Deep Learning
CycleSAM: One-Shot Surgical Scene Segmentation using Cycle-Consistent Feature Matching to Prompt SAM
Non-Adversarial Learning: Vector-Quantized Common Latent Space for Multi-Sequence MRI
NubbleDrop: A Simple Way to Improve Matching Strategy for Prompted One-Shot Segmentation
StyleSeg V2: Towards Robust One-shot Segmentation of Brain Tissue via Optimization-free Registration Error Perception
Group-On: Boosting One-Shot Segmentation with Supportive Query
Part-aware Personalized Segment Anything Model for Patient-Specific Segmentation
DeepATLAS: One-Shot Localization for Biomedical Data
Prototype-Based Approach for One-Shot Segmentation of Brain Tumors using Few-Shot Learning
SEGIC: Unleashing the Emergent Correspondence for In-Context Segmentation
AdLER: Adversarial Training with Label Error Rectification for One-Shot Medical Image Segmentation
One-shot and Partially-Supervised Cell Image Segmentation Using Small Visual Prompt
One-Shot Segmentation of Novel White Matter Tracts via Extensive Data Augmentation
Self-Supervised One-Shot Learning for Automatic Segmentation of StyleGAN Images
Robust One-shot Segmentation of Brain Tissues via Image-aligned Style Transformation
One-Shot Transfer of Affordance Regions? AffCorrs!
One-Shot Synthesis of Images and Segmentation Masks
Local Spatiotemporal Representation Learning for Longitudinally-consistent Neuroimage Analysis
Image Segmentation Using Text and Image Prompts
One-shot Weakly-Supervised Segmentation in Medical Images
End-to-end One-shot Human Parsing
Generalized Organ Segmentation by Imitating One-shot Reasoning using Anatomical Correlation
Progressive One-shot Human Parsing
Contour Transformer Network for One-shot Segmentation of Anatomical Structures
BriNet: Towards Bridging the Intra-class and Inter-class Gaps in One-Shot Segmentation
Deep Cerebellar Nuclei Segmentation via Semi-Supervised Deep Context-Aware Learning from 7T Diffusion MRI
LT-Net: Label Transfer by Learning Reversible Voxel-wise Correspondence for One-shot Medical Image Segmentation
CNN in MRF: Video Object Segmentation via Inference in A CNN-Based Higher-Order Spatio-Temporal MRF
One-Shot Segmentation in Clutter
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.