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I use the loss for my model (not TResNet) and sometimes it has a negative value. Is this a problem or normal?
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we recently released a paper:
"Asymmetric Loss For Multi-Label Classification".
https://github.com/Alibaba-MIIL/ASL
in the paper we introduce a new loss function, ASL, which operates differently …
mrT23 updated
2 years ago
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**Describe the bug**
Loading **Tresnet** models error
```python
Traceback (most recent call last):
File "ResnetTrain.py", line 55, in
resnet50 = timm.create_model('tresnet_l', pretrained=…
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Hi,
Can you please share the link to the weights file of model trained on Stanford cars data set. I am unable to get the expected results using https://miil-public-eu.oss-eu-central-1.aliyuncs.com…
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Recently, do an object fine-grained detection task, is it convenient to transferred to object detection?
thanks
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Could you provide the training parameters when using 8 * V100 with DDP?
When I use the following command line
python3 -u -m torch.distributed.launch --nnodes 1 --node_rank 0 --nproc_per_node 8 --mas…
SJLeo updated
3 years ago
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As it is evident SE module can dramatically improve the accuracy of network such as ResNet, coule you please also provide some pretrained models?
Just like SE-ResNet101/SE-ResNet50... in this page.…
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This is nice work by you and your team.
This is not an issue but rather a question. I am considering combining your ASL loss function with a contrastive loss for the purpose of semi-supervised, m…
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[timm](https://github.com/rwightman/pytorch-image-models) is **the largest** library of image models. Not only that, it also has a unified and very simple to use interface, that stays the same across …
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Hi!
Thanks for the great repo!
I'm using timm to load your pretrained models.
The "_in21k" variants (e.g tresnet_m_miil_in21k) output 11221 classes in the final layer,
which seems to be the a…