Update README.md

README.md

@@ -1,5 +1,5 @@
 # V2L
-The official code for V2L: Leveraging Vision and Vision-language Models into Large-scale Product Retrieval (CVPR 2022 Challenge Rank 1 Solution)
+The official code for [V2L: Leveraging Vision and Vision-language Models into Large-scale Product Retrieval](https://arxiv.org/abs/2207.12994) (CVPR 2022 Challenge Rank 1 Solution)
 
 ## About the challenge
 [FGVC9: eBay eProduct Visual Search Challenge 2022](https://sites.google.com/view/fgvc9/competitions/ebay-eproduct-search)
@@ -13,5 +13,13 @@ The official code for V2L: Leveraging Vision and Vision-language Models into Lar
 If you are interested in the code, please write a request email (with your purpose and your personal information) to [email protected].
 
 ## Citation
-
-Wait for update!
+```
+@misc{wang2022v2l,
+    title={V$^2$L: Leveraging Vision and Vision-language Models into Large-scale Product Retrieval},
+    author={Wenhao Wang and Yifan Sun and Zongxin Yang and Yi Yang},
+    year={2022},
+    eprint={2207.12994},
+    archivePrefix={arXiv},
+    primaryClass={cs.CV}
+}
+```