the tensorflow code for Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval
hi,everyone.The original code comes from the work https://github.com/lelan-li/SSAH.
I modify the method of reading the data and some small bug I think. The version of tensorflow is 1.4.1. I do not try others, but I think it is ok with little modification. I use python2.
The use of this code:
1.download the Flickr-25k data by google pan:https://drive.google.com/file/d/1DISD-7KSVkcJ8R6AyXvxj2jYSvIIP8G1/view?usp=sharing Then, put it in the big directory and unzip the data.zip. Last, unzip the all .zip file in the data.
2.python Main.py
Lastly, I get the result:
test map: map(i->t): 0.794, map(t->i): 0.797 test map: map(t->t): 0.766, map(i->i): 0.828
Welcome everyone to give suggestions and supplements. Thanks