Encoder Decoder Network Image Compression
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Could you train an encoder decoder network to take an image in and attempt to recreate that image as an output. I am basically interested at looking at the intermediate feature vector representation of the image output by the encoder, and using this as a form of compressed file. To decompress you would just pass to the decoder half of the model.
Could you potentially get incredibly high compression rates if your model worked well enough?
cnn image-recognition convolution autoencoder
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dadrakedadrake
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$begingroup$
Could you train an encoder decoder network to take an image in and attempt to recreate that image as an output. I am basically interested at looking at the intermediate feature vector representation of the image output by the encoder, and using this as a form of compressed file. To decompress you would just pass to the decoder half of the model.
Could you potentially get incredibly high compression rates if your model worked well enough?
cnn image-recognition convolution autoencoder
asked 1 min ago
dadrakedadrake
61
New contributor
dadrake is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
Could you train an encoder decoder network to take an image in and attempt to recreate that image as an output. I am basically interested at looking at the intermediate feature vector representation of the image output by the encoder, and using this as a form of compressed file. To decompress you would just pass to the decoder half of the model.
Could you potentially get incredibly high compression rates if your model worked well enough?
cnn image-recognition convolution autoencoder
asked 1 min ago
dadrakedadrake
61
New contributor
dadrake is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
Could you train an encoder decoder network to take an image in and attempt to recreate that image as an output. I am basically interested at looking at the intermediate feature vector representation of the image output by the encoder, and using this as a form of compressed file. To decompress you would just pass to the decoder half of the model.
Could you potentially get incredibly high compression rates if your model worked well enough?
cnn image-recognition convolution autoencoder
cnn image-recognition convolution autoencoder
asked 1 min ago
dadrakedadrake
61
New contributor
dadrake is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 1 min ago
dadrakedadrake
61
New contributor
dadrake is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 1 min ago
dadrakedadrake
61
New contributor
dadrake is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 1 min ago
dadrakedadrake
61
asked 1 min ago
dadrakedadrake
61
61
New contributor
dadrake is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
dadrake is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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