Comments (4)
fg91
commented on June 29, 2024
Hi Umar,
thank you for your interest! If you are interested in these kinds of models I suggest you next look at image caption generation:
https://cs.stanford.edu/people/karpathy/cvpr2015.pdf
The authors "describe neural networks that map words and image
regions into a common, multimodal embedding.", which shares some similarities with DeViSE. Better approaches are, however, presented in articles like these (1,2).
I'm working on a detailed image caption generation tutorial that should be on Medium within the next few weeks.
Best regards,
Fabio
from devise-zero-shot-classification.
UmarMajeed-Rana
commented on June 29, 2024
Thank you for your response Fabio. Do show and tell and other article you
mentioned they also take image and text into same common space? I am
interested in doing reverse image search on fashion domain. Searching
images from corpus by writing the description.
…On Wed, 19 Jun 2019, 2:39 PM Fabio M. Graetz ***@***.***> wrote:
Hi Umar,
thank you for your interest! If you are interested in these kinds of
models I suggest you next look at image caption generation:
https://cs.stanford.edu/people/karpathy/cvpr2015.pdf
The authors "describe neural networks that map words and image
regions into a common, multimodal embedding.", which shares some
similarities with DeViSE. Better approaches are, however, presented in
articles like these (1
<https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Vinyals_Show_and_Tell_2015_CVPR_paper.pdf>
,2 <https://arxiv.org/pdf/1502.03044.pdf>).
I'm working on a detailed image caption generation tutorial that should be
on Medium within the next few weeks.
Best regards,
Fabio
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fg91
commented on June 29, 2024
No, the models proposed in the "Show and Tell" and "Show, Attend and Tell" papers directly generate captions using an RNN decoder taking the representations generated by a CNN encoder as input.
However, the last paragraph in the left column in the section "Related Work" in the "Show and Tell" paper (page 2) talks about previous articles doing exactly what you intend to do as far as I understand. Maybe check the paragraph out (the one starting with "A large body of work has addressed the problem of ranking descriptions for a given image...").
Is this what you were looking for?
Best regards,
Fabio
from devise-zero-shot-classification.
UmarMajeed-Rana
commented on June 29, 2024
Hi Fabio
Exactly I am looking some thing similar. I am looking for some latest paper
in this domain so that I can extend them with focus on fashion domain.
I saw many attention based models for image captioning but they are not in
common embedding space with text. At Inference Time I will just have text
to find the relevant/related image.
…On Fri, Jun 21, 2019 at 3:15 PM Fabio M. Graetz ***@***.***> wrote:
No, the models proposed in the "Show and Tell" and "Show, Attend and Tell"
papers directly generate captions using an RNN decoder taking the
representations generated by a CNN encoder as input.
However, the last paragraph in the left column in the section "Related
Work" in the "Show and Tell" paper (page 2) talks about previous articles
doing exactly what you intend to do as far as I understand. Maybe check the
paragraph out (the one starting with "A large body of work has addressed
the problem of ranking descriptions for a given image...").
Is this what you were looking for?
Best regards,
Fabio
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