Update README.md

README.md

@@ -15,10 +15,12 @@ The model used to predict the types of anime images, which includes the followin
 * Comic: Images of manga that contain a significant amount of text or panel sequences.
 * Illustration: General anime illustrations.
 
-|       Model       |  FLOPs | Accuracy |                                                    Confusion Matrix                                                    | Description                                                          |
-|:-----------------:|:------:|:--------:|:----------------------------------------------------------------------------------------------------------------------:|----------------------------------------------------------------------|
-|    caformer_s36   | 22.10G |  88.19%  |    [Confusion Matrix](https://huggingface.co/deepghs/anime_classification/blob/main/caformer_s36/plot_confusion.png)   | Model: caformer_s36 from timm                                        |
-| caformer_s36_plus | 22.10G |  93.47%  | [Confusion Matrix](https://huggingface.co/deepghs/anime_classification/blob/main/caformer_s36_plus/plot_confusion.png) | Model: caformer_s36.sail_in22k_ft_in1k_384 pratrained from timm      |
-|    mobilenetv3    |  0.63G |  88.96%  |    [Confusion Matrix](https://huggingface.co/deepghs/anime_classification/blob/main/mobilenetv3/plot_confusion.png)    | Model: mobilenetv3_large_100 from timm                               |
-|  mobilenetv3_plus |  0.63G |  89.92%  |  [Confusion Matrix](https://huggingface.co/deepghs/anime_classification/blob/main/mobilenetv3_plus/plot_confusion.png) | Model: mobilenetv3_large_100 from timm, use SCELoss as loss function |
-|  mobilevitv2_150  |  9.09G |  88.21%  |  [Confusion Matrix](https://huggingface.co/deepghs/anime_classification/blob/main/mobilevitv2_150/plot_confusion.png)  | Model: mobilevitv2_150 from timm                                     |
+|         Model        |  FLOPs | Accuracy |                                                      Confusion Matrix                                                     | Description                                                                      |
+|:--------------------:|:------:|:--------:|:-------------------------------------------------------------------------------------------------------------------------:|----------------------------------------------------------------------------------|
+|     caformer_s36     | 22.10G |  88.19%  |     [Confusion Matrix](https://huggingface.co/deepghs/anime_classification/blob/main/caformer_s36/plot_confusion.png)     | Model: caformer_s36 from timm                                                    |
+|   caformer_s36_plus  | 22.10G |  93.47%  |   [Confusion Matrix](https://huggingface.co/deepghs/anime_classification/blob/main/caformer_s36_plus/plot_confusion.png)  | Model: caformer_s36.sail_in22k_ft_in1k_384 pratrained from timm                  |
+|      mobilenetv3     |  0.63G |  88.96%  |      [Confusion Matrix](https://huggingface.co/deepghs/anime_classification/blob/main/mobilenetv3/plot_confusion.png)     | Model: mobilenetv3_large_100 from timm                                           |
+|   mobilenetv3_dist   |  0.63G |  91.98%  |   [Confusion Matrix](https://huggingface.co/deepghs/anime_classification/blob/main/mobilenetv3_dist/plot_confusion.png)   | Distrillated from caformer_s36_plus, using mobilenetv3_large_100 with focal loss |
+|    mobilenetv3_sce   |  0.63G |  89.92%  |    [Confusion Matrix](https://huggingface.co/deepghs/anime_classification/blob/main/mobilenetv3_sce/plot_confusion.png)   | Model: mobilenetv3_large_100 from timm, use SCELoss as loss function             |
+| mobilenetv3_sce_dist |  0.63G |  92.35%  | [Confusion Matrix](https://huggingface.co/deepghs/anime_classification/blob/main/mobilenetv3_sce_dist/plot_confusion.png) | Distrillated from caformer_s36_plus, using mobilenetv3_large_100 with SCELoss    |
+|    mobilevitv2_150   |  9.09G |  88.21%  |    [Confusion Matrix](https://huggingface.co/deepghs/anime_classification/blob/main/mobilevitv2_150/plot_confusion.png)   | Model: mobilevitv2_150 from timm                                                 |