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VIPL-SLP / VAC_CSLR

Visual Alignment Constraint for Continuous Sign Language Recognition. ( ICCV 2021)
https://openaccess.thecvf.com/content/ICCV2021/html/Min_Visual_Alignment_Constraint_for_Continuous_Sign_Language_Recognition_ICCV_2021_paper.html
Apache License 2.0
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Time to train #18

Closed JoseMoFi closed 2 years ago

JoseMoFi commented 2 years ago

Hello, great work with this paper and repo! I would like to ask you how much time you spent training the model (for the dataset Phoenix12) and what kind gpu you used for the training. Because I am trying to replicate it but with other dataset (specificly the Phoenix14-T), and in my first test I spent around 14h to train 10 epochs. I used a TitanXP with 12Gb for the training and a batch = 1.

Thank you again for your work and congratulation for this repo.

ycmin95 commented 2 years ago

Thanks for your attention, it takes about half an hour to train one epoch on Phoenix14 with batch size=2 on a single 3090, and the total training process (40 epochs) costs about 20 hours. Using multiple GPUs can speed up this process.

JoseMoFi commented 2 years ago

Great! Thank you for your early answer.