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Are there "recommended", pretrained image featurizers -- maybe intermediate layers from CNNs and all that?

I know easy-to-use object recognition models, but for general clustering, metric learning, etc. tasks it would be useful to have an abstract embedding.




BERT & GPT-2 are state of the art, pre-trained models with transfer learning in mind.


https://www.cv-foundation.org/openaccess/content_cvpr_worksh...

Here's a nice paper. But yes, almost any CNN works.

VGG-16 or VGG-19 seem to be used the most.


Yeah, but if I understood it correctly the VGG-16 that comes with Keras is trained to give a probability distribution over 1000 interpretable labels. I was hoping for something that, like word2vec, embedded image data in low-ish dimension.




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