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[3DV 2024 Oral] DeDoDe 🎶 Detect, Don't Describe --- Describe, Don't Detect, for Local Feature Matching

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Hi, I am wondering, can we just use mutual nearest neighbor matching for speed at inference time? Dual softmax normalizes the scores, but doesn't change the actual neighbors (matches).

Great Job! I wonder why the target probability like this? Seems sum of a log prob of the covisible (also depth consistent) area scoremap, and a keypointmap prob here? Why...

Hey! I see that you used DinoV2-L [here](https://github.com/Parskatt/DeDoDe/blob/0928debd09de6e814c90647a639a7219437bf49a/DeDoDe/encoder.py#L53C128-L53C129) Have you tried the smaller versions of dinov2? I couldn't find anything about it in the paper.

Thank you for sharing; As stated in the article, DeDoD v2-L+RoMa has the best effect. Can you please advise on how to use this combination

Thank you for your outstanding work. How can this project be deployed on Windows?

Is there a reason why discriptor and detector used VGG19 network architecture? Not using ResNet or other network architecture

Hi, I think I found a small typo (or maybe I just missed something). In the file: https://github.com/Parskatt/DeDoDe/blob/0928debd09de6e814c90647a639a7219437bf49a/DeDoDe/matchers/dual_softmax_matcher.py I notice that "DualSoftMaxMatcher" returns batch_inds, shouldn't it return inds?

Hello, Im not sure how to use the published S weights. There only seems to be a `dedode_detector_L` and `dedode_detector_B` not S. Neither version work with the S weights. How...

Hello, thank you for your amazing job! I'm really interesting of your job and want to deploy DeDoDe on mobile devices(laptop, even CPU) for some self-driving works. But I find...