-
-
Hi! The work is inspiring!
However, I have some doubts while reading the paper. The metric performance values for several baseline methods in Table 1 do not seem to match what I have seen in relat…
-
It is recommended to add a category of information about quantified models, which are a significant part of the interest in flux
Emphasis on fp8, gguf q8, bnb-nf4 and more
-
Very nice work! I got beagle's dynamic mesh with open-source code and then used mesh_evaluation.py to calculate beagle's CD value to be 0.000626 but in table 1 the value is 0.639. Is it a result of …
-
750 words total for evaluation section
-
Hi,
I noticed that the quantitative values used by iq are derived from F.PeakArea. Could you please clarify if the quantitative values outputted by iq are at the MS1 level or the MS2 level?
Than…
ghost updated
4 months ago
-
I repeated the experiment, but there are no quantitative indicators, only qualitative indicators (reconstructed pictures), how do I get qualitative indicators (Acc)?Many thanks.
-
## Background
Quarterly metrics include user-initiated feedback, which does not come often enough to be considered significant, so we've decided to check on a quarterly basis instead of monthly.
I'm …
-
Assess uality of feature space/similarity of items. Especially, the quality of audio/spectrograms
-
Hi,
Thanks again for publishing your work!
I am trying to reproduce the camera and object tracking results in Table I and Table II in the RAL paper. For camera tracking of manipulation and rotat…