Semi Supervised Object Detection On Coco 0 5
Metrics
mAP
Results
Performance results of various models on this benchmark
Model Name | mAP | Paper Title | Repository |
|---|---|---|---|
| Adaptive Rebalancing | 19.62±0.37 | Semi-Supervised Object Detection with Adaptive Class-Rebalancing Self-Training | - |
| MUM | 18.54 | MUM : Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection | - |
| VC | 19.46 | Semi-supervised Object Detection via Virtual Category Learning | - |
| Unbiased Teacher | 16.94± 0.23 | Unbiased Teacher for Semi-Supervised Object Detection | - |
| Unbiased Teacher v2 | 21.26 ± 0.21 | Unbiased Teacher v2: Semi-supervised Object Detection for Anchor-free and Anchor-based Detectors | - |
0 of 5 row(s) selected.