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Hello, may you provide a pre-trained model of cbam, thank you.
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## Background
**[Neural Sparse](https://opensearch.org/docs/latest/search-plugins/neural-sparse-search/)** is a semantic search method which is built on native Lucene inverted index. The documents…
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Could you please send me a pretained model? My email is 2292421230@qq.com. Thanks!
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Excuse me, could you pls share the pre-trained models to us? as it's in the code :model/tusimple_lanenet/tusimple_lanenet_vgg_2018-10-19-13-33-56.ckpt-200000.
Thanks a lot.
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Hi,
Thanks for sharing your network and code.
I am very interested in the dataset mentioned in the paper.
Could you please shared the pre-trained model for YUP and YUP++ dataset ?
Thanks in advanc…
ghost updated
5 years ago
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Once I restore a model by directly changing `pretrained_gen_path` and `pretrained_dis_path` in `config.py`. How do I then only generate samples and not have the model train again ?
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Hi author，
I would like to quote your approach as a comparison algorithm, could you share the pre-trained models?
Looking forward to your reply！
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Can you provide the Baidu Pan link of the initial model, i.e., resnet50_v2.pth ? Thanks!
```
def resnet50(pretrained=False, **kwargs):
model = ResNet(Bottleneck, [3, 4, 6, 3], **kwargs)
…
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hello, Thanks for your work. Can I get the pre-trained model on KITTI ?
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Thanks for the cool project, when do you plan to make the pretrained models available? :)