Comments (8)
Hi @Fatemehai90, yes this is on our roadmap and will be released in the next weeks.
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Hi @Phil26AT
I'm interested too in SIFT + LightGlue, is there any news?
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@Parskatt you can find the results on MegaDepth1500 in the glue-factory README: https://github.com/cvg/glue-factory. ALIKED is similar to SuperPoint+LightGlue, SIFT (because of lower repeatability) requires 4K keypoints to achieve similar accuracy. On HPatches, ALIKED+LG seems to be weaker than SuperPoint+LightGlue. Tentative ScanNet1500 results can be found here.
All models tested with 2K keypoints.
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Hello, Thanks for this wonderful project, I am also very interested in this question, please let me know if there is anything new
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@Phil26AT I'm interested too!
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Hi all, sorry for the delay, but the SIFT weights have been released together with the ALIKED weights now!
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@Phil26AT great news! What's the score of the ALIKED version om the benchmarks?
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Cool, thanks!
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Related Issues (20)
- can I use this algorithm to get the similarity score of two pictures? HOT 1
- How to get description from giving point(x,y) HOT 2
- The matching effect of similar images is too different HOT 5
- ERROR in the Installation HOT 1
- TSNE on descriptors outputted by SuperPoint?
- How to display the matching status of each pair of feature points HOT 2
- Retrain model LightGlue with ourdataset HOT 2
- While Reproducing the results HOT 1
- Questions about SIFT+LightGlue HOT 3
- spelling error in README HOT 1
- Compatibility Issue with GridSample and ONNX Opset 15 on NXP i.MX 93 NPU HOT 1
- How to do inference with trained model? HOT 1
- No keypoints with sift = error
- FlashAttention actually does not support attention mask HOT 3
- What's the difference between matches0 and matches1
- some problem that delopy on device, such as snapdragon snpe HOT 1
- Training with own dataset on both extractor and matcher HOT 2
- Illegal License HOT 4
- inference_for_LightGlue
- Bad matches running on GPU (related to non_blocking parameter) HOT 1
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