- All models below except SSD were trained on `coco_2017_train`, and tested on `coco_2017_val`.
- All models below were trained on `coco_2017_train`, and tested on `coco_2017_val`.
- Batch Normalization layers in backbones are replaced by Affine Channel layers.
- Unless otherwise noted, all ResNet backbones adopt the [ResNet-B](https://arxiv.org/pdf/1812.01187) variant..
- For RCNN and RetinaNet models, only horizontal flipping data augmentation was used in the training phase and no augmentations were used in the testing phase.
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@@ -70,6 +70,9 @@ The backbone models pretrained on ImageNet are available. All backbone models ar