Closed lxtGH closed 3 years ago
Did you just transfer these gt mask into unified taxonomy of 194 classes using NaiveTaxonomyConverter?
Hi @lxtGH, please refer to section 3.2 of our paper: "We re-annotate only the datasets used for learning, leaving the evaluation datasets intact."
We did this for fair comparison with other results on these established benchmarks. Indeed, we were the runner-up at the 2020 Robust Vision Challenge that used several of these benchmarks.
Regarding how to project results in the universal taxonomy into a test dataset's taxonomy, please refer to the section entitled "Using the MSeg taxonomy on a held-out dataset." of our paper on page 6. We discuss this in detail.
Hi! @johnwlambert
Since the train datasets have been relabeled.
Why the test sets are not relabed? How to test the these test test?