Cross-Domain Few-Shot
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Benchmarks
ChestX
EuroSAT
ISIC2018
CUB
CropDisease
Places
Plantae
cars
miniImagenet
Most implemented
Few-Shot Learning with Graph Neural Networks
NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results
Cross-domain Few-shot Learning with Task-specific Adapters
Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning
Papers
AUCH-Net: Action Unit-Based Consistency-Aware Hypergraph Network for Cross-Domain Few-Shot Facial Expression Recognition
Recently, cross-domain few-shot facial expression recognition (CF-FER) has received considerable attention. However, the performance of existing CF-FER methods is still unsatisfactory due to inferior transferable feature…
Facial Expression RecognitionCross-Domain Few-ShotPSP: Harnessing Position and Shape Priors for Cross-Domain Few-Shot Medical Image Segmentation
Few-Shot Medical Image Segmentation (FSMIS) offers a powerful solution to data scarcity but struggles to generalize across different imaging modalities. This performance collapse stems primarily from the drastic texture …
Medical Image SegmentationCross-Domain Few-ShotHierarchical Spatial and Channel Aggregation for Cross-domain Few-shot Segmentation
Cross-domain Few-shot Segmentation (CD-FSS) aims to learn generalizable segmentation capability from abundant annotated samples in the source domain, enabling accurate segmentation of novel classes in the target domain w…
Cross-Domain Few-ShotTraining-free Cross-domain Few-shot Segmentation via Robust Semantic Representation and Matching
Cross-domain Few-shot Segmentation (CD-FSS) aims to transfer knowledge learned from source domain to distinct target domains, segmenting unseen target classes with only a few annotated samples. Although existing methods …
Cross-Domain Few-ShotSelective, Regularized, and Calibrated: Harnessing Vision Foundation Models for Cross-Domain Few-Shot Semantic Segmentation
Vision foundation models (VFMs) have achieved strong performance across various vision tasks. However, it still remains challenging to apply VFMs for cross-domain few-shot segmentation (CD-FSS), which segments objects of…
Semantic SegmentationCross-Domain Few-ShotGeometry-aware Prototype Learning for Cross-domain Few-shot Medical Image Segmentation
Cross-domain few-shot medical image segmentation (CD-FSMIS) requires a model to generalise simultaneously to novel anatomical categories and unseen imaging domains from only a handful of annotated examples. Existing prot…
Medical Image SegmentationCross-Domain Few-Shot