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by stochastic_monk 2932 days ago
I think the image needs to be an input somehow. I imagine running an image classifier (e.g., YOLO9000) to extract “pretrained” features and making those values inputs into a modified LSTM could allow learning to synthesize text and perception. I’d suggest learning new image embeddings (training a neural network to extract image features from scratch), but it’d be difficult to get enough images/enough different images.