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Hi do you plan to support Swin transformers object detection TensorRT
https://github.com/SwinTransformer/Swin-Transformer-Object-Detection
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请问这是什么错误
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Swinv2-Imagen: Hierarchical Vision Transformer Diffusion Models for Text-to-Image Generation
https://arxiv.org/abs/2210.09549
I really wonder if a SwinTransformer based UNet really is that much be…
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### 🐛 Describe the bug
```python
def forward(self, x, H, W):
""" Forward function.
Args:
x: Input feature, tensor size (B, H*W, C).
H, W: Spatial res…
bhack updated
3 months ago
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### 🚀 The feature
Currently we do
```
self.mlp = MLP(dim, [int(dim * mlp_ratio), dim], activation_layer=nn.GELU, inplace=None, dropout=dropout)
```
But according to original implementation…
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Hi,
I followed get_started.md to install all the dependencies same as is mentioned in the GitHub.
When I am running the command"python tools/test.py configs/pspnet/pspnet_r50-d8_512x1024_40k_city…
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Hi all
I'm trying to retrain an object detector with a SwinTransformer backbone using a pretrained pth.
Everything is working well but if I'm understanding of the mask_rcnn_swin-t-p4-w7_fpn_1x_c…
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Hello, Thanks for your excellent job. I wonder is it better for swintransformer to add Local module paper proposed? I can not find this conclution from the paper or github. Thank you
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## Arxiv/Blog/Paper Link
https://windbornesystems.com/blog/how-we-built-our-record-breaking-ai-model-weathermesh
## Detailed Description
Unfortunately very annoyingly quite limited details on the…
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SwinTransformer.py 文件中的486行中的x = F.pad(x, (0, 0, 0, self.patch_size - L % self.patch_size)),为什么填充的维度是【B, C, L】中的C而非L?