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Hello..
How can we implement a Retinanet with Resnext-152 as backbone on a Darknet Platform..?
(Also using cost function as Focal Loss)
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Hello, can you share the training log? I want to confirm if the ratio of focal loss and giou loss is appropriate.
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As in the paper said, 'training objective is a penalty-reduced pixel-wise logistic regression with focal loss'. I would assume this loss can be applied directly in multi-label case? And if it is the c…
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您好 我在复现你的论文的过程中,代码里没有发现你用到的Focal Loss部分,你可以告知一下吗?
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Found https://pytorch.org/vision/stable/_modules/torchvision/ops/focal_loss.html - gives 404
The existing one: https://pytorch.org/vision/stable/ops.html?highlight=focal_loss#torchvision.ops.sigmoi…
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So it turns out none of the existing foundation models work for xView2 building damage detection. Results are around 50% validation mIoU with DiffUnet.
The baseline to compare to would be an Imagen…
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@makalo Because I only could train on the 1080ti GPU, I set the batch size is 2. However the loss is around 18 the focal_loss is around 36. I want to know the loss when you trian the model
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training loss at iteration 79735: 5.6166815757751465
focal loss at iteration 79735: 5.0547027587890625
pull loss at iteration 79735: 0.…
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https://github.com/lyuwenyu/RT-DETR/blob/2b88d5d53bcbfbb70329bc9c007fdf7e76cf90dc/rtdetr_pytorch/src/zoo/rtdetr/rtdetr_postprocessor.py#L53
这里使用是模型直接输出结果,未乘上图片尺寸,paddle版本无论是否use_focal_loss,都是使用还原尺寸…
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I am trying to train similar model for action classification on videos, It has around 200 classes.
Following is the code for loss_labels:
```py
def loss_labels(self, outputs, targets, indices, nu…