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yinboc / DGP

Rethinking Knowledge Graph Propagation for Zero-Shot Learning, in CVPR 2019
MIT License
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About Result #20

Closed lil-wayne-0319 closed 2 years ago

lil-wayne-0319 commented 2 years ago

Thank you very much for your contribution! I have tested your codes with default settings(with finetuning), and the best preformance on imageNet(2-hops) is 25.49%/25.82%(SGCN/DGP). It seems there is a little degradation with your paper(26.2%/26.6% for SGCN/DGP).Do I miss something or you have some other tricks? I find that one tenth of the pictures were randomly picked in 'evaluate_imagenet.py'. Maybe that's the reason? By the way, I'll be very appriciate it if you can provide the 'best.pred'. Thank you!

GermeauSimon commented 5 months ago

I have the same? Did you get a response?