Comments (4)
The SegNet is used as the backbone network in the original PCGrad paper. While we use the DeepLabV3+ (ResNet50 with dilated convolution + ASPP) as the backbone here, which achieves better performance than SegNet.
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Thank you for your answer!
Is there SegNet architecture in this library?
I couldn't find it in the LibMTL model directory.
Is not supported in the current version?
Or, is the same architecture when I tried the supported command-line below for the original MTAN with SegNet?
python train_nyu.py --weighting DWA --arch MTAN --gpu_id 5 --scheduler step --train_bs 4
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LibMTL does not support the SegNet backbone network. MTAN is orthogonal to the backbone network, which means MTAN can combine with both SegNet and ResNet50.
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Thank you!!
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