fidoptSpeckle images (2D), known sub-pixel displacement, ranked apart
0 datasets, 0 test cases. A method is ranked here when it has a result on every case of every one of them.
Read before comparing
- Ranked apart: outside biomedical imaging, kept as a generic 2D registration problem; displacements imposed by the image generator; nine test pairs, where a main leaderboard needs ten.
- 1 dataset of this kind is shown below and not ranked on the official board: its licence does not allow a public leaderboard. The research board (Research, above the ranking) ranks it too.
Ranking OfficialResearch
No method has a complete result on any dataset here yet.
1 place in that table, 1 is best2/10 cases done, not ranked yetn/a does not apply not run some cases failed
Under each dataset, the method's place in that dataset's table: 1 is best, the darker the better. The mean rank averages its places over the datasets.
The scores, dataset by dataset
Each score is followed by its change against no registration: green when the method did better, red when it did worse.