From 49bf3f55f0995377683221dda8c93df6543ab7f2 Mon Sep 17 00:00:00 2001
From: Abdelrahman Shaker <108531886+Amshaker@users.noreply.github.com>
Date: Wed, 26 Jul 2023 01:18:39 +0400
Subject: [PATCH] Update README.md
---
README.md | 12 +++++-------
1 file changed, 5 insertions(+), 7 deletions(-)
diff --git a/README.md b/README.md
index 529e3f5..90d83ce 100644
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+++ b/README.md
@@ -1,19 +1,17 @@
# SwiftFormer
### **SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications**
-[Abdelrahman Shaker](https://scholar.google.com/citations?hl=en&user=eEz4Wu4AAAAJ),
-[Muhammad Maaz](https://scholar.google.com/citations?user=vTy9Te8AAAAJ&hl=en&authuser=1&oi=sra),
-[Hanoona Rasheed](https://scholar.google.com/citations?user=yhDdEuEAAAAJ&hl=en&authuser=1&oi=sra),
-[Salman Khan](https://salman-h-khan.github.io),
-[Ming-Hsuan Yang](https://scholar.google.com/citations?user=p9-ohHsAAAAJ&hl=en),
-and [Fahad Shahbaz Khan](https://scholar.google.es/citations?user=zvaeYnUAAAAJ&hl=en)
+
+[Abdelrahman Shaker](https://scholar.google.com/citations?hl=en&user=eEz4Wu4AAAAJ)*1, [Muhammad Maaz](https://scholar.google.com/citations?user=vTy9Te8AAAAJ&hl=en&authuser=1&oi=sra)1, [Hanoona Rasheed](https://scholar.google.com/citations?user=yhDdEuEAAAAJ&hl=en&authuser=1&oi=sra)1, [Salman Khan](https://salman-h-khan.github.io/)1, [Ming-Hsuan Yang](https://scholar.google.com/citations?user=p9-ohHsAAAAJ&hl=en)2,3 and [Fahad Shahbaz Khan](https://scholar.google.es/citations?user=zvaeYnUAAAAJ&hl=en)1,4
+Mohamed Bin Zayed University of Artificial Intelligence1, University of California Merced2, Google Research3, Linkoping University4
[](https://arxiv.org/abs/2303.15446)
## :rocket: News
+* **(Jul 14, 2023):** SwiftFormer has been accepted at ICCV 2023. :fire::fire:
* **(Mar 27, 2023):** Classification training and evaluation codes along with pre-trained models are released.
@@ -99,7 +97,7 @@ To train SwiftFormer models on an 8-GPU machine:
sh dist_train.sh /path/to/imagenet 8
```
-Note: specify which model command you want to run in the script. To reproduce the results of the paper, use 16-GPU machine with batch-size of 128 or 8-GPU machine with batch size of 256. Auto Augmentation, CutMix, MixUp are disabled for SwiftFormer-XS only.
+Note: specify which model command you want to run in the script. To reproduce the results of the paper, use 16-GPU machine with batch-size of 128 or 8-GPU machine with batch size of 256. Auto Augmentation, CutMix, MixUp are disabled for SwiftFormer-XS, and CutMix, MixUp are disabled for SwiftFormer-S.
### Multi-node training