VainF / DeepLabV3Plus-Pytorch

Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes

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Is this result correct or not?

ly-jq opened this issue · comments

After training the deeplab3plus resnet101 model with 30000 iters, the mean accuracy achieves to 0.678442 and miou 0.593765. This result is lower for your conclusion in the Cityscapes dataset, it is correct or not. I didn't use pretrained weight to train.
deeplab3p.log

Hi @ly-jq, could you please provide the training configs? The deeplabv3plus_resnet101 was contributed by a community user.

According to encoder decoder atrous separable conv paper, they achieved 82.1% test set accuracy. What hyperparameters did they use while training?

Hi @ly-jq, could you please provide the training configs? The deeplabv3plus_resnet101 was contributed by a community user.

Has the problem been solved?

Hi @ly-jq, could you please provide the training configs? The deeplabv3plus_resnet101 was contributed by a community user.
Hi, I recently trained deeplabv3+Xception on the VOC2012 dataset, and after 150 epochs the miou metric on the validation set was only 0.26, and the acc metric had 0.72. I don't know what's wrong with the code, is it because of the small number of epochs trained?