@@ -0,0 +1,16 @@
+_base_ = [
+    './sparse_rcnn_r50_fpn_300_proposals_crop_mstrain_480-800_3x_coco.py'
+]
+
+model = dict(
+    pretrained='torchvision://resnet101',
+    backbone=dict(
+        type='ResNet',
+        depth=101,
+        num_stages=4,
+        out_indices=(0, 1, 2, 3),
+        frozen_stages=1,
+        norm_cfg=dict(type='BN', requires_grad=True),
+        norm_eval=True,
+        style='pytorch'),
+)
clean unnecessary comma