Object Detection models based on detectron2.
| Model |
Backbone |
Lr schd |
Mem (GB) |
mask AP |
box AP |
Config |
Download |
| Mask RCNN |
ConvNeXt_Tiny |
1x |
|
40.5 |
43.8 |
config |
model |
| RetinaNet |
ConvNeXt_Tiny |
1x |
|
|
43.8 |
config |
model |
| Model |
Backbone |
Lr schd |
Mem (GB) |
mask AP |
box AP |
Config |
Download |
| RetinaNet+ |
ResNet50* |
1x |
|
|
41.9 |
config |
model |
+: we use GN + GIoU + multi-scale training
*: we use new TorchVision SOTA ResNet models
| Model |
Backbone |
Lr schd |
Mem (GB) |
mask AP |
box AP |
Config |
Download |
| RetinaNet |
DaViT-Tiny |
1x |
|
|
44.8 |
config |
model |
| Model |
Backbone |
Lr schd |
Mem (GB) |
mask AP |
box AP |
Config |
Download |
| RetinaNet |
SwinV2-Tiny |
1x |
|
|
44.8 |
config |
model |