Comments (11)
Hello @aliman80 ,
Thank you for the valuable suggestions. Can you please share your NUS-WIDE training result log file?
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Hi @aliman80 I have attached my log file with the message. In the log file you shared the encoder loss is very high. Please check if all the inputs are passed correctly to the code and also the uploaded code was developed on Tesla v100 machine. So, if you are using a different machine make sure your environment is developed correctly and if you are still not able to get the results you might have to do certain parameter changes to achieve near by results.
pami_reproduce_git_nus_wide.log
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Hi @aliman80 you can check the classifier batch size, learning rate. further you can also check the ratio of seen, unseen labels used for preparing the synthetic data. You can compose the json files of NUS-WIDE dataset using the uploaded features. You can manipulate the size of the dataset in the data loader.
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Hi, By using pre trained weights mAP of zsl in range of 3 and GZSL in range of 1 which is quite far away. Can you update the right weights in pre trained folder please.
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Related Issues (16)
- nus_zsl_test_vgg19.h5 vs s,nus_gzsl_test_vgg19.h5_features
- DataLoading CPU Hangs
- NUS_WIDE_pretrained_w2v_glove-wiki-gigaword-300 HOT 2
- Why does memory keep increasing during training? HOT 10
- Production of qualitative results HOT 4
- Urgent Query Regarding datasets
- About nus-wide dataset
- Links for downloading datasets, NUS_WIDE and OPENIMage HOT 2
- Memory problem HOT 4
- get_extract_data not defined HOT 3
- Google drive link not working HOT 1
- Training using NUS-WIDE dataset:gdrive not accessible HOT 2
- How much gpu memory does it costs? HOT 1
- dataset issue HOT 5
- Classification Results/Detection Results HOT 2
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