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XiaLiPKU / EMANet

The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)
https://xialipku.github.io/publication/expectation-maximization-attention-networks-for-semantic-segmentation/
GNU General Public License v3.0
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How long does it take to train EMANet with a Resnet-101 backbone? #35

Closed ghost closed 4 years ago

ghost commented 4 years ago

Hello,

Thank you for publishing the code to your excellent work. I was wondering how long it takes to train the EMANet with a Resnet-101 backbone - both for when the number of input channels is 256 and 512? How many GPUs did you use to achieve this training time?

Thank you in advance :)

XiaLiPKU commented 4 years ago

Hello,

Thank you for publishing the code to your excellent work. I was wondering how long it takes to train the EMANet with a Resnet-101 backbone - both for when the number of input channels is 256 and 512? How many GPUs did you use to achieve this training time?

Thank you in advance :)

It was a long time ago. Let me see, maybe around 8-10 hours over four 1080 Ti.

ghost commented 4 years ago

Thank you!