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Hi, weiliu,
First of all, thanks so much for the great SSD work.
In your eccv's presentation, you mentioned that the mAP of SSD 512 could be improve from 77% to 80% by simply adding some random expans…
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First of all, thanks for sharing the great project! I have tried to implement your mobilePydnet network but cannot reach totally to the same results compared with pre-trained model. For that reason I …
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Hi Pooya,
Thanks for releasing your code.
Though the processed attention map is released, I am wondering if the teacher module available? I'd like to apply it in my project and I'd appreciate it…
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I am trying to train the model with a training schedule where the lr is reduced /10 every few epochs. For example, heads trained for 10 epochs at lr, 4+ for next 10 epochs at lr/10, all layers for ano…
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## AlacGAN [User-Guided Deep Anime Line Art Colorization with Conditional Adversarial Networks]
paper url : https://arxiv.org/pdf/1808.03240.pdf
### Contribution
- **Conditioned on the output loc…
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Here is the code that WORK:
```
p = Augmentor.Pipeline(args.image_dir)
# Point to a directory containing ground truth data.
# Images with the same file names will be added as groun…
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Hi Author @pgt4861,
Thanks for your work. I am a big fan of your paper and was really impressed by how well it uses the trimap information using prior tokens.
I was experimenting with the code but …
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As defined in ` SegmentationModels.py` function `def get_dice_coef(self, test_img, label):` requires labelled ground truth image `label`. I created the same using `save_labels` in `brain_pipeline.py`…
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## Creating ground truth for highly crowded images
Hi all, and a huge thanks for developers of StarDist! In an other project StarDist ensured the succession of the project, when it made segmentatio…
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Good afternoon,
I have some problems when I tried to run `python run.py -e 80 -k cpn_ft_h36m_dbb -arc 3,3,3,3,3` to test the training function of VideoPose3D. The problem occurred is list bel…