SOTAVerified

Cross-Domain Few-Shot

Papers

Showing 1–10 of 141 papers

TitleStatusHype
Adapter Naturally Serves as Decoupler for Cross-Domain Few-Shot Semantic Segmentation—0
FAD: Frequency Adaptation and Diversion for Cross-domain Few-shot Learning—0
CDFormer: Cross-Domain Few-Shot Object Detection Transformer Against Feature ConfusionCode1
Adapting In-Domain Few-Shot Segmentation to New Domains without Retraining—0
NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and ResultsCode2
A Cross-Domain Few-Shot Learning Method Based on Domain Knowledge Mapping—0
Enhance Then Search: An Augmentation-Search Strategy with Foundation Models for Cross-Domain Few-Shot Object DetectionCode2
The Devil is in Low-Level Features for Cross-Domain Few-Shot Segmentation—0
From Dataset to Real-world: General 3D Object Detection via Generalized Cross-domain Few-shot Learning—0
Cross-domain Few-shot Object Detection with Multi-modal Textual EnrichmentCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1StyleAdv-FT5 shot79.35—Unverified
2StyleAdv5 shot77.73—Unverified
3wave-SAN5 shot76.88—Unverified
4ATA-FT5 shot76.64—Unverified
5AFA5 shot76.21—Unverified
6ATA5 shot75.48—Unverified
7FWT5 shot73.94—Unverified
8BSCD-FSL5 shot70.06—Unverified