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Use MST initialization with huber loss #802

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ayushbaid
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@ayushbaid
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This seems to do better

ba
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@akshay-krishnan
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@ayushbaid the diff is against "MST w/o Huber", not "no MST" right? Are we still seeing regressions when compared to "no MST"?

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@ayushbaid the diff is against "MST w/o Huber", not "no MST" right? Are we still seeing regressions when compared to "no MST"?

The metrics are compared against master though

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@ayushbaid the diff is against "MST w/o Huber", not "no MST" right? Are we still seeing regressions when compared to "no MST"?

The metrics are compared against master though

Yes, I meant the diff in metrics.

This commit passes in the optimality treshold explicitly from GTSFM: a value of `-1e-5` compared to `-1e-4` default value.
I tried using 0 and `1e-5` (value used in paper for large datasets) but even the unit tests are taking up a lot of time with higher thresholds.
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Why did you turn off inlier weighting?

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Also, are you sure inlier weighting was turned on it master when you compared? I vaguely remember @akshay-krishnan accidently turning it off in master.

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Why did you turn off inlier weighting?

It was just for experimentation and comparing different sets of values.

Inlier weighting is on right now on master.

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3 participants