One Shot Object Detection On Coco
Metrics
AP 0.5
Results
Performance results of various models on this benchmark
Model Name | AP 0.5 | Paper Title | Repository |
|---|---|---|---|
| OWL-ViT (R50+H/32) | 41.8 | Simple Open-Vocabulary Object Detection with Vision Transformers | |
| Siamese Mask R-CNN | 16.3 | One-Shot Instance Segmentation | |
| One-Shot Object Detection | 22.0 | One-Shot Object Detection with Co-Attention and Co-Excitation | |
| DE-ViT | 28.4 | Detect Everything with Few Examples |
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