snnetv2-semantic-segmentation / configs /mask2former /mask2former_r101_8xb2-90k_cityscapes-512x1024.py
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_base_ = ['./mask2former_r50_8xb2-90k_cityscapes-512x1024.py']
model = dict(
backbone=dict(
depth=101,
init_cfg=dict(type='Pretrained',
checkpoint='torchvision://resnet101')))