mask-rcnn_r101_fpn_seesaw-loss_sample1e-3-ms-2x_lvis-v1.py 226 B

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  1. _base_ = './mask-rcnn_r50_fpn_seesaw-loss_sample1e-3-ms-2x_lvis-v1.py'
  2. model = dict(
  3. backbone=dict(
  4. depth=101,
  5. init_cfg=dict(type='Pretrained',
  6. checkpoint='torchvision://resnet101')))