Motivation

In order to expand the parameters of the swing transformer backbone network and improve its monitoring effect, I added Swin Transformer MoE (referred to as Swin-T MoE hereafter) as a new backbone network.

Modification

I added Swin Transformer MoE (referred to as Swin-T MoE hereafter) as a new backbone network :
.\mmdet\models\backbones\swin_transformer_moe.py

As the output of Swin-T MoE is different from Swin-T, I modified the extract_feat function in .\mmdet\models\detectors\two_stage.py.

BC-breaking (Optional)

I think no.

Use cases (Optional)

I provided the relevant configuration files for reference:
contains the parameters for the Swin-T MoE backbone network:

.\configs\swin\cascade_mask_rcnn_swin_moe_tiny_patch4_window7_mstrain_480-800_giou_4conv1f_adamw_3x_coco.py

contains the modified configuration for the backbone network:

.\configs\swin\cascade_mask_rcnn_swin_moe_tiny_patch4_window7_mstrain_480-800_giou_4conv1f_adamw_3x_coco.py

Thanks for your read.