Update announcement_5.md

caodoanh2001 · Nov 23, 2023 · e45724c · e45724c
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@@ -19,3 +19,5 @@ Meet our dedicated team:
 ![](https://caodoanh2001.github.io/assets/img/upar-certificate.jpg)
 
 Furthermore, we are honored to share that our paper presenting this groundbreaking solution, titled "C2T-Net: Cross-Fused Transformer-Style Networks for Pedestrian Attribute Recognition," has been accepted, and we will be delivering an oral presentation at the WACV2024-RWS Workshop. This recognition underscores the innovation and impact of our work in advancing the field of pedestrian attribute recognition.
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+Please check our published source code ![here](https://github.com/caodoanh2001/upar_challenge)