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Cross-Domain Few-Shot Object Detection
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The task of Cross-Domain Few-Shot Object Detection (CD-FSOD) aims at tackling FSOD across domains.
논문
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CDFormer: Cross-Domain Few-Shot Object Detection Transformer Against Feature Confusion
NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results
Enhance Then Search: An Augmentation-Search Strategy with Foundation Models for Cross-Domain Few-Shot Object Detection
Cross-domain Few-shot Object Detection with Multi-modal Textual Enrichment
Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector
Detect Everything with Few Examples
CD-FSOD: A Benchmark for Cross-domain Few-shot Object Detection
AcroFOD: An Adaptive Method for Cross-domain Few-shot Object Detection
0/1 Deep Neural Networks via Block Coordinate Descent
Exploring Plain Vision Transformer Backbones for Object Detection
Detecting Twenty-thousand Classes using Image-level Supervision
DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding
Frustratingly Simple Few-Shot Object Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.