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Cross Domain Few Shot Object Detection On Neu
Metrics
mAP
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| Detic-FT | 16.8 | Detecting Twenty-thousand Classes using Image-level Supervision | |
| ViTDeT-FT | 15.8 | Exploring Plain Vision Transformer Backbones for Object Detection | |
| CD-ViTO | 12.8 | Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector | |
| DE-ViT-FT | 8.8 | Detect Everything with Few Examples |
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