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Parskatt / RoMa

[CVPR 2024] RoMa: Robust Dense Feature Matching; RoMa is the robust dense feature matcher capable of estimating pixel-dense warps and reliable certainties for almost any image pair.
https://parskatt.github.io/RoMa/
MIT License
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what the delta_cls is used for? #11

Open lyp19 opened 1 year ago

lyp19 commented 1 year ago

and the gm_cls_loss, do not understand

Parskatt commented 1 year ago

Delta cls loss is not used. It was used in early experiments to see if regression-by-classification works for refinement.

The global matcher cls loss is the regression by classification loss for the coarse/global matcher which we do use.

lyp19 commented 1 year ago

The global matcher cls loss is different from what’s in the paper?

lyp19 commented 1 year ago

discretized into a two-dimensional grid?