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Hi, I was going through the loss [script](https://github.com/google-research/scenic/blob/main/scenic/projects/owl_vit/losses.py) for OWL-ViT and wanted to confirm the implementation of the focal loss …
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[Focal loss ](https://www.tensorflow.org/addons/api_docs/python/tfa/losses/SigmoidFocalCrossEntropy) may be useful to our classification use case, where there is a significant imbalance between classe…
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Thank you for your contributions and for your amazing work.
Your paper mentions that you perform prediction in disparity space in order to handle representation, scale and shift ambiguities on mult…
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Hi, I am using your implementation of focal loss, and sometimes the value calculated is nan. I realized that it is due to the normalization in terms of positive samples in the batch since I am working…
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Follow the install instruction as :
PyTorch 2.0 + CUDA 11.8
```
conda create -n sparsebev python=3.8
conda activate sparsebev
conda install pytorch==2.0.0 torchvision==0.15.0 pytorch-cuda=11.8 -c…
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussion…
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Hi,
is it possible to modify this function to focal loss ? if so , please add this loss.
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class FocalLoss(nn.Module):
def __init__(self, gamma=2, alpha=1.0, size_average=True):
super(FocalLoss, self).__init__()
self.gamma = gamma
self.alpha = alpha
…
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Hi, I think there is probably a mistake in here:
https://github.com/qubvel/segmentation_models/blob/a6fbf2d5ea21081929df634d095d389211e649ef/segmentation_models/base/functional.py#L281.
The values i…
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Hi,thank you for sharing the code, I use you provided fockl loss to replace the the softmaxloss used in the fast-rcnn phase of faster-rcnn. But he training accuracy is only 65%. Is there any trainin…
LXWDL updated
6 years ago