Instance Segmentation on COCO 2017 (val random split)
0.292Mask APNB
Evaluation Results
| Method | Links | |
|---|---|---|
| NB% supervised=10, Backbone=ResNet-50, Detector Type=two-stage2022.11 | 0.292 | |
| NB% supervised=5, Backbone=ResNet-50, Detector Type=two-stage2022.11 | 0.249 | |
| DD% supervised=10, Backbone=ResNet-50, Detector Type=two-stage2022.11 | 0.242 | |
| Mask R-CNN% supervised=10, Backbone=ResNet-50, Detector Type=two-stage2022.11 | 0.22 | |
| DD% supervised=5, Backbone=ResNet-50, Detector Type=two-stage2022.11 | 0.204 | |
| Mask R-CNN% supervised=5, Backbone=ResNet-50, Detector Type=two-stage2022.11 | 0.173 | |
| NB% supervised=2, Backbone=ResNet-50, Detector Type=two-stage2022.11 | 0.163 | |
| DD% supervised=2, Backbone=ResNet-50, Detector Type=two-stage2022.11 | 0.118 | |
| Mask R-CNN% supervised=2, Backbone=ResNet-50, Detector Type=two-stage2022.11 | 0.094 | |
| NB% supervised=1, Backbone=ResNet-50, Detector Type=two-stage2022.11 | 0.077 | |
| DD% supervised=1, Backbone=ResNet-50, Detector Type=two-stage2022.11 | 0.038 | |
| Mask R-CNN% supervised=1, Backbone=ResNet-50, Detector Type=two-stage2022.11 | 0.035 |