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Cross Domain Few Shot Object Detection On 1
Metrics
mAP
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| ViTDeT-FT | 25.6 | Exploring Plain Vision Transformer Backbones for Object Detection | |
| DE-ViT-FT | - | Detect Everything with Few Examples | |
| Detic-FT | - | Detecting Twenty-thousand Classes using Image-level Supervision | |
| CD-ViTO | - | Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector |
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