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The phrase "reference metrics" is correct and usable in written English.
You can use it to refer to specific metrics that are used as benchmarks for comparison or assessment. For example, "The company uses reference metrics to compare the efficiency of its different departments."
Exact(24)
The performance of this metric is evaluated with respect to full reference metrics and the metric in [14].
We can observe that the performance of our metric is comparable with the considered full reference metrics, and our metric outperforms PSNR in the case of both MPEG2 and H.264 compression and also in the case "IP distortion", i.e., the case of H.264 video transmitted over a network.
With the aid of the databases above, we compare the performance versus subjective tests of our metric with respect to the most popular full reference metrics and to the RR metrics with the best performance and whose results are directly comparable or reproducible.
These reference metrics can be made smoother and more uniform by evolving them with Ricci flow.
This smoothing procedure is tested on the two-dimensional reference metrics constructed here.
This paper introduces a general procedure for constructing reference metrics automatically on multicube representations of manifolds with arbitrary topologies.
Similar(36)
Results highlight that the metric correlates well with subjective observations, also in comparison with commonly used full-reference metrics and with a state-of-the-art reduced reference metric.
The proposed metric is compared with three full-reference metrics DCTune [25], NQM [8], MS-SSIM [7], and six very recent no-reference metrics that reported results for TID2008: BLINDS-II (SVM) [30], BLINDS-II (Prob).
The no-reference metrics are also integrated to an overall quality metric.
The results highlight that the proposed metric correlates well with subjective observations, also in comparison with commonly used full-reference metrics and with a state-of-the-art metric.
Results highlight that the metric correlates well with subjective observations, also in comparison with commonly used full-reference metrics and with a state-of-the-art RR metric.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com