Object Detection on MS-COCO 1x Schedule 2017 (val)
0.419AP (Overall)LEWEL_B
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| LEWEL_BEpoch=400, Backbone=ResNet-50 FPN, Architecture=Mask R-CNN, Training Schedule=1x2022.03 | 0.419 | 0.624 | 0.46 | 0.379 | 0.593 | 0.407 | |
| PixelProEpoch=400, Backbone=ResNet-50 FPN, Architecture=Mask R-CNN, Training Schedule=1x2022.03 | 0.414 | 0.616 | 0.454 | 0.374 | — | — | |
| LEWEL_BEpoch=200, Backbone=ResNet-50 FPN, Architecture=Mask R-CNN, Training Schedule=1x2022.03 | 0.413 | 0.612 | 0.454 | 0.374 | 0.583 | 0.403 | |
| DenseCLEpoch=200, Backbone=ResNet-50 FPN, Architecture=Mask R-CNN, Training Schedule=1x2022.03 | 0.403 | 0.599 | 0.443 | 0.364 | 0.57 | 0.392 | |
| LEWEL_MEpoch=200, Backbone=ResNet-50 FPN, Architecture=Mask R-CNN, Training Schedule=1x2022.03 | 0.4 | 0.598 | 0.437 | 0.361 | 0.57 | 0.387 | |
| ReSimEpoch=200, Backbone=ResNet-50 FPN, Architecture=Mask R-CNN, Training Schedule=1x2022.03 | 0.398 | 0.602 | 0.435 | 0.36 | 0.571 | 0.386 |