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akshitac8 / Generative_MLZSL

[TPAMI 2023] Generative Multi-Label Zero-Shot Learning
https://akshitac8.github.io/GAN_MLZSL/
GNU General Public License v3.0
49 stars 14 forks source link

Production of qualitative results #15

Open dgbarclay opened 2 years ago

dgbarclay commented 2 years ago

First of all, thanks for this repo. I have managed to train and evaluate successfully and am seeing some nice performance figures.

I now have a query regarding the production of some qualitative results, similar to those at (https://github.com/nasir6/zero_shot_detection#qualitative-results). I see these are featured in your paper:

Screenshot 2022-04-13 at 12 28 08

I have tried manually reproducing these by opening up the model but as I see you have already produced some, I thought it was worth asking if code already exists to do this. I would be grateful if you could provide a link if it does, this would really help my research and demonstration of results for my academic report. Thanks in advance and apologies for all of these queries.

hugh920 commented 2 years ago

Hello, first of all congratulations on your successful training. May I ask you how many rounds of training, running out of the results are good?

aliman80 commented 2 years ago

Hi, i tried to reproduce the results on single GPU but my mAP is 21 max for exact same settings as given in repo, If possible can you share your training parameters which you used to reproduce the exact results please.

akshitac8 commented 2 years ago

Hello @dgbarclay The code was getting the qualitative results is similar to https://github.com/nasir6/zero_shot_detection

MuqaddasGull commented 1 year ago

Hi, i tried to reproduce the results on single GPU but my mAP is 21 max for exact same settings as given in repo, If possible can you share your training parameters which you used to reproduce the exact results please.

facing the same issue?