mmsegmentation/upernet_deit-b16_mln_512x512_160k_ade20k.py at 8ed5975b81ba0f2e93137d3a1e2488c729fc9edd - mmsegmentation - Gitea: Git with a cup of tea

mirrors/mmsegmentation

mirror of https://github.com/open-mmlab/mmsegmentation.git synced 2025-06-03 22:03:48 +08:00

谢昕辰 5245edb0a0 add configs for vit backbone plus decode_heads (#520 )

* add config

* add cityscapes config

* add default value to docstring

* fix lint

* add deit-s and deit-b

* add readme

* add eps at norm_cfg

* add drop_path_rate experiment

* add deit case at init_weight

* add upernet result

* update result and add upernet 160k config

* update upernet result and fix settings

* Update iters number

* update result and delete some configs

* fix import error

* fix drop_path_rate

* update result and restore config

* update benchmark result

* remove cityscapes exp

* remove neck

* neck exp

* add more configs

* fix init error

* fix ffn setting

* update result

* update results

* update result

* update results and fill table

* delete or rename configs

* fix link delimiter

* rename configs and fix link

* rename neck to mln

2021-07-01 23:00:39 +08:00

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 _base_ = './upernet_vit-b16_mln_512x512_160k_ade20k.py'
 model = dict(
     pretrained='https://dl.fbaipublicfiles.com/deit/deit_base_patch16_224-b5f2ef4d.pth',  # noqa
     backbone=dict(drop_path_rate=0.1),)  # yapf: disable