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[FEATURE_REQUEST] Adding the 2020 SOTA paper for image retrieval (similarity scenario) #656
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mhezarei
changed the title
[FEATURE_REQUEST] Adding the 2020 SOTA paper for image retrieval (similarity section)
[FEATURE_REQUEST] [Similarity] Adding the 2020 SOTA paper for image retrieval (similarity section)
Sep 22, 2021
mhezarei
changed the title
[FEATURE_REQUEST] [Similarity] Adding the 2020 SOTA paper for image retrieval (similarity section)
[FEATURE_REQUEST] [Similarity] Adding the 2020 SOTA paper for image retrieval
Sep 22, 2021
mhezarei
changed the title
[FEATURE_REQUEST] [Similarity] Adding the 2020 SOTA paper for image retrieval
[enhancement] [FEATURE_REQUEST] Adding the 2020 SOTA paper for image retrieval
Sep 22, 2021
mhezarei
changed the title
[enhancement] [FEATURE_REQUEST] Adding the 2020 SOTA paper for image retrieval
[FEATURE_REQUEST] Adding the 2020 SOTA paper for image retrieval (similarity scenario)
Sep 22, 2021
Thanks for the suggestion. Next time we update the code/table we will also take this reference into account. |
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Description
The current SOTA paper for image retrieval was published in 2020. It's called "Combination of Multiple Global Descriptors for Image Retrieval," and you can find it here.
Here's what the results table would look like with the addition of this paper:
(Implemented in this repository)
89% (2048-dim)
65% (2048-dim)
80% (2048-dim)
Although the paper uses the triplet loss (which is somewhat against the idea of this section), I believe the improvements are so considerable that it is worth ignoring that fact.
Also, the implementation code is available here, but it needs a few adjustments to be suitable for this repo. I was wondering if I could be helpful by doing so.
Expected behavior with the suggested feature
Other Comments
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