Training on own data set without groundtruths

Parskatt / DeDoDe

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

MIT License

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Open Meda2997 opened 1 year ago

Meda2997 commented 1 year ago

Is there any way that we can make this as unsupervised learning as I wanted to try on indoor dataset

Parskatt commented 1 year ago

I suggest you use the augmentation of SiLK with our architecture.

I have tried making the objective unsupervised but haven't had success so far.