Object Detection on 7-channel brain cell dataset (val)
64.6mAP (Box)DAMA
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| DAMABackbone=ViT, Pre-training epochs=1000, Framework=Mask R-CNN2022.05 | 64.6 | 91.4 | 75.3 | |
| SimMIM-SwinBackbone=Swin, Pre-training epochs=800, Framework=Mask R-CNN2022.05 | 64.2 | 91.3 | 75.1 | |
| DAMABackbone=ViT, Pre-training epochs=500, Framework=Mask R-CNN2022.05 | 64.1 | 91.1 | 74.2 | |
| MAEBackbone=ViT, Pre-training epochs=800, Framework=Mask R-CNN2022.05 | 63.8 | 90 | 73.3 | |
| MAEBackbone=ViT, Pre-training epochs=1600, Framework=Mask R-CNN2022.05 | 63.7 | 90.8 | 74.8 | |
| SimMIM-ViTBackbone=ViT, Pre-training epochs=800, Framework=Mask R-CNN2022.05 | 63.6 | 91.1 | 74.1 | |
| ViTBackbone=ViT, Pre-training=random initialized, Framework=Mask R-CNN2022.05 | 63.4 | 90.8 | 73.9 | |
| SwinBackbone=Swin, Pre-training=random initialized, Framework=Mask R-CNN2022.05 | 63.2 | 90.6 | 73.7 | |
| MoCo-v3Backbone=ViT, Pre-training epochs=1000, Framework=Mask R-CNN2022.05 | 63.2 | 90.5 | 73.2 | |
| MoCo-v3Backbone=ViT, Pre-training epochs=500, Framework=Mask R-CNN2022.05 | 63.1 | 90.2 | 73 |