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rstojnic
2020-03-05 15:50:58 +00:00
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@@ -2,7 +2,7 @@
# My awesome paper title
This repository is the official implementation of [My owesome paper title](https://arxiv.org/abs/2030.12345).
This repository is the official implementation of [My awesome paper title](https://arxiv.org/abs/2030.12345).
> 📋Optional: include a graphic explaining your approach or main result.
@@ -40,7 +40,7 @@ python eval.py --model-file mymodel.pth --benchmark imagenet
You can download pretrained models here:
- [My model](https://drive.google.com/mymodel.pth) trained on ImageNet using parameters x,y,z.
- [Mymodel](https://drive.google.com/mymodel.pth) trained on ImageNet using parameters x,y,z.
> 📋Give a link to where/how the pretrained models can be downloaded and how they were trained (if applicable).
@@ -52,7 +52,7 @@ Our model achieves the following performance on :
| Model name | Top 1 Accuracy | Top 5 Accuracy |
| --------------- |---------------- | -------------- |
| My model | 85% | 95% |
| Mymodel | 85% | 95% |
> 📋Include a table of results from your paper, and link back to the leaderboard for clarity and context. If your main result is a figure, include that figure and link to the command or notebook to reproduce it.