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Few-Shot Semantic Segmentation
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Few-shot semantic segmentation (FSS) learns to segment target objects in query image given few pixel-wise annotated support image.
논문
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Adapter Naturally Serves as Decoupler for Cross-Domain Few-Shot Semantic Segmentation
FSSUWNet: Mitigating the Fragility of Pre-trained Models with Feature Enhancement for Few-Shot Semantic Segmentation in Underwater Images
Exploring Few-Shot Defect Segmentation in General Industrial Scenarios with Metric Learning and Vision Foundation Models
AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies
Overcoming Support Dilution for Robust Few-shot Semantic Segmentation
Few-shot Structure-Informed Machinery Part Segmentation with Foundation Models and Graph Neural Networks
AFANet: Adaptive Frequency-Aware Network for Weakly-Supervised Few-Shot Semantic Segmentation
Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer
FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation
Generative Model-Based Fusion for Improved Few-Shot Semantic Segmentation of Infrared Images
Is Foreground Prototype Sufficient? Few-Shot Medical Image Segmentation with Background-Fused Prototype
Segment Any Class (SAC): Multi-Class Few-Shot Semantic Segmentation via Class Region Proposals
Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation
Task Consistent Prototype Learning for Incremental Few-shot Semantic Segmentation
Bridge the Points: Graph-based Few-shot Segment Anything Semantically
Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation
RobustEMD: Domain Robust Matching for Cross-domain Few-shot Medical Image Segmentation
Hybrid Mamba for Few-Shot Segmentation
Generalized Few-Shot Semantic Segmentation in Remote Sensing: Challenge and Benchmark
MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototyping
Foundation Model or Finetune? Evaluation of few-shot semantic segmentation for river pollution
TeFF: Tracking-enhanced Forgetting-free Few-shot 3D LiDAR Semantic Segmentation
Applying ViT in Generalized Few-shot Semantic Segmentation
Localization and Expansion: A Decoupled Framework for Point Cloud Few-shot Semantic Segmentation
Small Object Few-shot Segmentation for Vision-based Industrial Inspection
Eliminating Feature Ambiguity for Few-Shot Segmentation
Label Anything: Multi-Class Few-Shot Semantic Segmentation with Visual Prompts
Few-Shot Medical Image Segmentation with High-Fidelity Prototypes
Label-Efficient Semantic Segmentation of LiDAR Point Clouds in Adverse Weather Conditions
APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation
Memory-guided Network with Uncertainty-based Feature Augmentation for Few-shot Semantic Segmentation
Organizing Background to Explore Latent Classes for Incremental Few-shot Semantic Segmentation
Cross-Domain Few-Shot Semantic Segmentation via Doubly Matching Transformation
Few-Shot Fruit Segmentation via Transfer Learning
Show and Grasp: Few-shot Semantic Segmentation for Robot Grasping through Zero-shot Foundation Models
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