diff --git a/README.md b/README.md
index f412695..65d17b4 100644
--- a/README.md
+++ b/README.md
@@ -167,6 +167,7 @@ The download link is [Here](https://drive.google.com/open?id=1XVEYb0TN2SbBYOqf8S
 |Methods | Rank@1 | mAP| Reference|
 | -------- | ----- | ---- | ---- |
 | [EfficientNet-b4] | 85.78% | 66.80% |  `python train.py --use_efficient --name eff; python test.py --name eff` |
+| [ResNet-50 (fp16)] | 88.03% | 71.40% | `python train.py --name fp16 --fp16 --train_all` |
 | [ResNet-50] | 88.84% | 71.59% |  `python train.py --train_all` |
 | [ResNet-50-ibn] | 89.13% | 73.40% | `python train.py --train_all --name res-ibn --ibn` |
 | [DenseNet-121] | 90.17% | 74.02% | `python train.py --name ft_net_dense --use_dense --train_all` |
@@ -174,10 +175,10 @@ The download link is [Here](https://drive.google.com/open?id=1XVEYb0TN2SbBYOqf8S
 | [HRNet-18] | 90.83% | 76.65% |  ` python train.py --use_hr --name hr18; python test.py --name hr18` |
 | [PCB] | 92.64% | 77.47% | `python train.py --name PCB --PCB --train_all --lr 0.02` |
 | [PCB + DG] | 92.70% | 78.31% | `python train.py --name PCB_DG --PCB --train_all --lr 0.02 --DG; python test.py --name PCB_DG` |
-| [ResNet-50 (fp16)] | 88.03% | 71.40% | `python train.py --name fp16 --fp16 --train_all` |
 | [ResNet-50 (all tricks)] | 91.83% | 78.32% | `python train.py --warm_epoch 5 --stride 1 --erasing_p 0.5 --batchsize 8 --lr 0.02 --name warm5_s1_b8_lr2_p0.5` |
 | [ResNet-50 (all tricks+Circle)] | 92.13% | 79.84% | `python train.py --warm_epoch 5 --stride 1 --erasing_p 0.5 --batchsize 8 --lr 0.02 --name warm5_s1_b8_lr2_p0.5_circle  --circle` |
 | [ResNet-50 (all tricks+Circle+DG)] | 92.13% | 80.13% | `python train.py --warm_epoch 5 --stride 1 --erasing_p 0.5 --batchsize 8 --lr 0.02 --name warm5_s1_b8_lr2_p0.5_circle_DG --circle --DG; python test.py --name warm5_s1_b8_lr2_p0.5_circle_DG` |
+| [HRNet-18 (all tricks+Circle+DG)]| 92.19% | 81.00% | `python train.py --use_hr --name  hr18_p0.5_circle_w5_b16_lr0.01_DG --lr 0.01 --batch 16 --DG --erasing_p 0.5 --circle --warm_epoch 5; python test.py --name  hr18_p0.5_circle_w5_b16_lr0.01_DG` |
 | [Swin] | 92.73% | 79.71% | `python train.py --use_swin --name swin; python test.py --name swin`|
 | [Swin (all tricks+Circle)] | 93.65% | 83.65% | `python train.py --use_swin --name swin_p0.5_circle_w5  --erasing_p 0.5 --circle --warm_epoch 5;  python test.py --name swin_p0.5_circle_w5`|
 | [Swin (all tricks+Circle+b16)] | 93.91% | 85.17% | `python train.py --use_swin --name swin_p0.5_circle_w5_b16_lr0.01 --lr 0.01 --batch 16  --erasing_p 0.5 --circle --warm_epoch 5; python test.py --name swin_p0.5_circle_w5_b16_lr0.01`|