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Hi,
I see that starting from deformable DETR, it doesn't make sense to have cardinality loss. In the original DETR paper, the class_embed head outputs num_classes + 1, to also output a value for th…
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Should train.py and train_cart.py share the same "number of steps" and the totally same parameters in
`"TRAIN" :
{
"if_validate": true,
"epochs" : 1000,
"batch_size" : 3,
"foc…
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B导,你这个能将loss_obj替换为Focal Loss么,为什么我尝试替换后loss_obj在训练过程中一直为0啊?
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Did you try Focal loss, how about its performance ?
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I try to merge your focal-loss with SSD, the training loss can converge to 1.x, but the testset mAP is not as well as OHEM method. Have you test focal-loss on any dataset?
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我在tiny的版本上开启focal loss的训练,并设置50个epoch后才开始测试,此时仍然会出现因为nms导致的显存爆炸
```
Epoch gpu_mem GIoU obj cls total targets img_size
50/299 6.12G 0.05371 0.3158 0.006124 …
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- [讲透RCNN, Fast-RCNN, Faster-RCNN,将CNN用于目标检测 - 简书](https://www.jianshu.com/p/d06514a8ffe4)
- [实例分割模型Mask R-CNN详解:从R-CNN,F…
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Hi @unsky
Please, can you check, did I read your Focal Loss formulas correctly?
For CE, delta is:
* `if (i == j)` then `delta = 1-p`
* `if (i != j)` then `delta = -p`
----
For Focal Los…
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## 🚀 Feature
Currently we only support focal loss for binary cases.
Some users have reported the need to use it for multi class classification #551
Consider adapting MONAI version: https://gith…
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**Describe the bug**
Harvester/Rancher integration tests fail on Harvester v1.4.0-rc3. Rancher is unable to create RKE1 or RKE2 guest clusters because the VMs can not reach the Harvester VIP/Rancher …