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few-shot segmentation
few-shot segmentation
58 papers
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Also known as
FSS
Co-occurring keywords
semantic segmentation
(3186)
few-shot learning
(3398)
prototype learning
(405)
image segmentation
(971)
attention mechanism
(4001)
cross-domain adaptation
(112)
medical image segmentation
(351)
domain adaptation
(4595)
segment anything model
(118)
novel class
(20)
Papers
Addressing Background Context Bias in Few-Shot Segmentation through Iterative Modulation
CVPR 2024
Pixel Matching Network for Cross-Domain Few-Shot Segmentation
WACV 2024
FGNet: Towards Filling the Intra-class and Inter-class Gaps for Few-shot Segmentation
IJCAI 2023
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation
CVPR 2023
Rethinking Few-Shot Medical Segmentation: A Vector Quantization View
CVPR 2023
Rethinking the Correlation in Few-Shot Segmentation: A Buoys View
CVPR 2023
MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation
CVPR 2023
Focus on Query: Adversarial Mining Transformer for Few-Shot Segmentation
NIPS 2023
Few-Shot Medical Image Segmentation With Cycle-Resemblance Attention
WACV 2023
Self-Calibrated Cross Attention Network for Few-Shot Segmentation
ICCV 2023
Robust One-Shot Segmentation of Brain Tissues via Image-Aligned Style Transformation
AAAI 2023
Elimination of Non-Novel Segments at Multi-Scale for Few-Shot Segmentation
WACV 2023
Dual Meta-Learning with Longitudinally Consistent Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan
ICCV 2023
Beyond the Prototype: Divide-and-conquer Proxies for Few-shot Segmentation
IJCAI 2022
GanOrCon: Are Generative Models Useful for Few-Shot Segmentation?
CVPR 2022
Mask Matching Transformer for Few-Shot Segmentation
NIPS 2022
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning
NIPS 2022
Feature-Proxy Transformer for Few-Shot Segmentation
NIPS 2022
Learning What Not To Segment: A New Perspective on Few-Shot Segmentation
CVPR 2022
Integrative Few-Shot Learning for Classification and Segmentation
CVPR 2022
CATrans: Context and Affinity Transformer for Few-Shot Segmentation
IJCAI 2022
Few-Shot Segmentation via Cycle-Consistent Transformer
NIPS 2021
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation
CVPR 2021
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?
CVPR 2021
Self-Guided and Cross-Guided Learning for Few-Shot Segmentation
CVPR 2021
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