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I have an extreme imbalanced dataset for muticlass task . To handle the imbalance, I want to weight loss function
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I think that we never publicly exposed what would be the method inclusion in imbalanced-learn.
IMO, I think that we don't have to be as conservative as in scikit-learn to include new methods. Howe…
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I am currently working on the multi-class segmentation of Agricultural aerial images. I have about 7 classes which are highly imbalanced both by image and no.of.pixels that each class has.
I hav…
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Have a look at this [link](https://gridftp.tamucc.edu/fognet/datashare/archive/datasets/24HOURS/TARGET/). Does it look like a balanced training dataset to you? Not sure what VIS (visibility) unit is b…
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1. What is the effect of using counters_per_class and focal_loss together and separately?
2. What is the effect of using focal_loss in all [yolo] layers and certain layers(only 1 or 2)?
3. How can w…
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Hi, I want to use PSPNet Model to segmentation 9 classes: Road, Line, Left, Right, NoLeft, NoRight, Straight, Stop.
This problem is my model can't segment correctly all signs when my self-driving ca…
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## 🐛 Bug
I am running graphsage app in dgl+pytorch setting. In minigun code which spawns omp threads to execute e.g copyReduce, I see that multiple omp threads are getting executed on a cpu - som…
yuk12 updated
4 years ago
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I trained two models for the same data.
I found that shallow model is very sensitive to imbalance compared to deep model.
model: yolo_v3_tiny_pan3_aa_ae_mixup_scale_giou.cfg (mixup = 0), very …
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After manual edits to the scripts mentioned in issue number 2, and using the same files as mentioned there, running the following command throws the following error:
`./run_plasma.py hap1.txt exp1.…
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I want to extract some RF fingerprint features based on the physical layer of gr-ieee802-15-4. These RF fingerprint features are CFO, IQ imbalance, PA nonlinearity, antenna pattern. How should I achie…