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Hi there,
When trying to run visualisation with pretrained models I am getting really poor results.
Command:
`python demo.py --config-file ../configs/ovis/video_maskformer2_R50_bs32_8ep_frame.…
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Following discussions with @FHoltorf over Slack, I am opening an issue (feature request) here.
The scope of this FR address the following high level problems:
- How would one solve a high dimen…
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## Bug Description
During some work on MaCaw for a journal submission I hit a few corner cases. MaCaw is stochastically sampling rays so it's not unexpected to find new corner cases
A slack user als…
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**Is your feature request related to a problem? Please describe.**
To train a better, little-bias model, the inbalance of data must be dealt not only inducing little noise but also keeping enough ori…
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We'd like to integrate several varieties of negative sampling into the NVT/Merlin dataloaders:
- [ ] Popularity biased negatives from in-batch examples
- [ ] Uniform negatives from all items
- [ …
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hi
Did you sample mini-batch in a totally random way?
Or did you give any constraint in batch sampling? I implemented ssd, however it is biased to the class whose number of image is the largest in P…
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I suggest to rename `flip` in the standard library by `bernoulli`.
I understand that `flip` is the name used in Church, however in Haskell `flip` is a combinator, see https://hackage.haskell.org/pa…
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Consider a small target panel covering the exons of a few dozen genes, but both introns and exons of one gene that is frequently amplified in test samples. The log2 coverage values used for GC and oth…
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## Instructions To Reproduce Bug:
1. Full runnable code or full changes you made (Instructions To Reproduce the Issue and Full Logs):
I basically copied and pasted the code used in the jupyter noteb…
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Post your questions about: “[When Big Data is Too Small - Sampling, Crowd-Sourcing and Bias (Links to an external site.)](https://docs.google.com/document/d/1j4mReKY_pG29e5B8JTCEbx2ITvNHKhMNZT1rJMM4R7…
lkcao updated
2 years ago