Update README.md

README.md

@@ -6,7 +6,7 @@ This repository is the official implementation of [FaceCaption-15M]().
 
 ![image-20240318101027127](https://img.yutangli.net/img/202403181010116.png)
 
- **(a). Same color represents shared parameters. “12x” stands for 12-layer transformer modules. (b), (c) and (d) FLIP-based model are applied to the tasks of text-image retrieval, facial attributes prediction and sketch less facial image retrieval, respectively.**
+ **Fig.1:(a). Same color represents shared parameters. “12x” stands for 12-layer transformer modules. (b), (c) and (d) FLIP-based model are applied to the tasks of text-image retrieval, facial attributes prediction and sketch less facial image retrieval, respectively.**
 
 ## Training
 
@@ -49,6 +49,8 @@ Download the FaceCaption-15M dataset from [here](https://huggingface.co/dataset
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/663f06e01cd68975883a353e/snd-9JBKJnRuZpm0Wp38f.png)
 
+**Fig.2:Demonstration of our FLIP-based model on the SLFIR task. Both methods can retrieve the target face photo from the top-5 list using a partial sketch. Our proposed FLIP-based model can achieve this using fewer strokes than the baseline. The number at the bottom denotes the rank of the paired (true match) photos at every stage.**
+
 ## Contacts
 mailto: 2018211556@stu.cqupt.edu.cn or dw_dai@163.com