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I closed the previous issue because it was a little bit irrelevant.
As far as I know some parts of the preprocess chain are available online like word2vec model for word embedding by google or NetVlad or Imagenet pre-trained ResNet-152 CNN or Kinetics pre-trained I3D flow network or the audio CNN by google again.
Let's say I have my own 100 videos-captions pairs , how can I test the retrieval (recall@K and mr) with your pre-trained model on MSRVTT or MPII for example ? Do I have to extract features in the same way like you mention in your journal and change heavily your code ? @antoine77340
The text was updated successfully, but these errors were encountered:
I closed the previous issue because it was a little bit irrelevant.
As far as I know some parts of the preprocess chain are available online like word2vec model for word embedding by google or NetVlad or Imagenet pre-trained ResNet-152 CNN or Kinetics pre-trained I3D flow network or the audio CNN by google again.
Let's say I have my own 100 videos-captions pairs , how can I test the retrieval (recall@K and mr) with your pre-trained model on MSRVTT or MPII for example ? Do I have to extract features in the same way like you mention in your journal and change heavily your code ?
@antoine77340
The text was updated successfully, but these errors were encountered: