Update README.md

README.md

@@ -39,7 +39,7 @@ Besides, if you are new to object re-ID, you may check out our **[Tutorial](http
 Now we have supported:
 - Running the code on Google Colab with Free GPU. Check [Here](https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/colab) (Thanks to @ronghao233)
 - [DG-Market](https://github.com/NVlabs/DG-Net#dg-market) (10x Large Synethic Dataset from Market **CVPR 2019 Oral**)
-- [Swin Transformer](https://github.com/microsoft/Swin-Transformer)
+- [Swin Transformer](https://github.com/microsoft/Swin-Transformer) / [EfficientNet](https://github.com/lukemelas/EfficientNet-PyTorch) / [HRNet](https://github.com/HRNet)
 - Circle Loss (**CVPR 2020 Oral**)
 - Float16 to save GPU memory based on [apex](https://github.com/NVIDIA/apex)
 - Part-based Convolutional Baseline(PCB)