liwenyun
/
advclip
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Update README.md

This commit is contained in:
junfeng tu 2022-10-16 15:22:27 +08:00 committed by GitHub
parent f532ac85cf
commit 97b346ffba
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 11 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

12
README.md
View File

@ -1,4 +1,4 @@
# Differentiable Cross Modal Hashing via Multimodal Transformers[https://dl.acm.org/doi/abs/10.1145/3503161.3548187] # Differentiable Cross Modal Hashing via Multimodal Transformers [link](https://dl.acm.org/doi/abs/10.1145/3503161.3548187)
## Framework ## Framework
The main architecture of our method. The main architecture of our method.
@ -64,6 +64,16 @@ After the dataset has been prepared, we could run the follow command to train.
## Result ## Result
![result](./data/result.png) ![result](./data/result.png)
## Citation
inproceedings{10.1145/3503161.3548187,
author = {Tu, Junfeng and Liu, Xueliang and Lin, Zongxiang and Hong, Richang and Wang, Meng},
title = {Differentiable Cross-Modal Hashing via Multimodal Transformers},
year = {2022},
booktitle = {Proceedings of the 30th ACM International Conference on Multimedia},
pages = {453–461},
numpages = {9},
}
## Acknowledegements ## Acknowledegements
[CLIP](https://github.com/openai/CLIP) [CLIP](https://github.com/openai/CLIP)