mmsegmentation/configs/unet/unet-s5-d16_fcn_4xb4-ce-1.0-dice-3.0-40k_hrf-256x256.py

_base_ = './unet-s5-d16_fcn_4xb4-40k_hrf-256x256.py'
model = dict(
    decode_head=dict(loss_decode=[
        dict(type='CrossEntropyLoss', loss_name='loss_ce', loss_weight=1.0),
        dict(type='DiceLoss', loss_name='loss_dice', loss_weight=3.0)
    ]))
[Refactor] Update config names (#1964) * rename ann configs * update ann yml * update * update * update * update * update * update ann readme * update * update deeplabv3 * update readme * fix yml * fix beit 2022-08-26 18:48:56 +08:00			`_base_ = './unet-s5-d16_fcn_4xb4-40k_hrf-256x256.py'`
[Feature] Add UNet benchmark with multiple losses supervision (#1143) * upload models and new configs * fix hrf readme error * fix hrf readme error * add mDice of old models * refactor configs 2021-12-23 21:38:51 +08:00			`model = dict(`
			`decode_head=dict(loss_decode=[`
			`dict(type='CrossEntropyLoss', loss_name='loss_ce', loss_weight=1.0),`
			`dict(type='DiceLoss', loss_name='loss_dice', loss_weight=3.0)`
			`]))`