PyTorch implementation of DEEP SUPERVISED HASHING FOR FAST IMAGE RETRIEVAL(CVPR 2016)
PyTorch implementation of paper Deep Supervised Hashing for Fast Image Retrieval
And thanks to This repo on TensorFlow
I only tested it once as it has been pushed, and it seems to be able to reproduce the result claimed on the paper.
More results will be added...
I intended to make it easy for reading. You can easily run it by
python main.py
commandline uasge have a nice-looking help
pyhon main.py -h
12bits的cifar10，map跑出来是59+，原文61+。不确定是哪里的问题，想问问作者有没有复现一下paper里的性能？
What's the result after you tested it once? Could you please share it?
I am getting mAP of zero on cifar and also on my custom dataset. Is there anything wrong in mAP code?
Hi,
Your code is gorgeous that helps me a lot.
After I tried this code, I found it very slow when computing mAP, which is on CPU. I've tried to change it on GPU but got the out of memory error.
Do you have any suggests to accelerate this process?
Thanks.
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