[GH-ISSUE #201] Question: Image to Token(s) encoder? #176

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opened 2026-10-31 21:12:01 +00:00 by bsakaguchi · 2 comments
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Originally created by @chi0tzp on GitHub (Dec 23, 2021).
Original GitHub issue: https://github.com/openai/CLIP/issues/201

Hi, I'm interested in training an encoder that maps images to the token space.

Maybe something like a ResNet backbone that learns to map input images to token embeddings. The latter, after passed through the CLIP text encoder should lead to image embeddings close to the image embeddings produced by the CLIP image encoder.

Has anyone tried anything like this?

Thank you!

Originally created by @chi0tzp on GitHub (Dec 23, 2021). Original GitHub issue: https://github.com/openai/CLIP/issues/201 Hi, I'm interested in training an encoder that maps images to the token space. Maybe something like a ResNet backbone that learns to map input images to token embeddings. The latter, after passed through the CLIP text encoder should lead to image embeddings close to the image embeddings produced by the CLIP image encoder. Has anyone tried anything like this? Thank you!
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@Rijgersberg commented on GitHub (Dec 23, 2021):

Are you familiar with CoOp? It does something similar:

https://github.com/KaiyangZhou/CoOp

<!-- gh-comment-id:1000252395 --> @Rijgersberg commented on GitHub (Dec 23, 2021): Are you familiar with CoOp? It does something similar: https://github.com/KaiyangZhou/CoOp
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@chi0tzp commented on GitHub (Dec 23, 2021):

Hi @Rijgersberg, I wasn't aware of CoOp, many thanks for sharing!

<!-- gh-comment-id:1000256546 --> @chi0tzp commented on GitHub (Dec 23, 2021): Hi @Rijgersberg, I wasn't aware of CoOp, many thanks for sharing!
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