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hbdat / cvpr20_IMCL

Interactive Multi-Label CNN Learning with Partial Labels @ CVPR20
MIT License
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What is full_sparse_dict_feature_with_label.tfrecords #5

Open MargerA-ops opened 2 years ago

MargerA-ops commented 2 years ago

I want to change the dataset to myself dataset ,so I want to what full_sparse_dict_feature_with_label.tfrecords is. Thanks

hbdat commented 2 years ago

Hi @MargerA-ops ,

Thanks for reaching out. The "full_sparse_dict_feature_with_label.tfrecords" file is the subset of training data used for speeding up training. For more information, please refer to section 4.2 in our supplementary material.

Best, Dat

MargerA-ops commented 2 years ago

Thanks for lot

dathuynh @.***> 於 2022年1月11日 週二 13:00 寫道：

Hi @MargerA-ops https://github.com/MargerA-ops ,

Thanks for reaching out. The "full_sparse_dict_feature_with_label.tfrecords" file is the subset of training data used for speeding up training. For more information, please refer to section 4.2 in our supplementary material https://hbdat.github.io/pubs/suppmat_ssmll_final.pdf.

Best, Dat

— Reply to this email directly, view it on GitHub https://github.com/hbdat/cvpr20_IMCL/issues/5#issuecomment-1009600609, or unsubscribe https://github.com/notifications/unsubscribe-auth/ASJOWBZJ627UISTTPYZNGWTUVO2OTANCNFSM5LN7WCKA . Triage notifications on the go with GitHub Mobile for iOS https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675 or Android https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub.

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MargerA-ops commented 2 years ago

Thank for your help

YOU XIAN LIN @.***> 於 2022年1月15日 週六 14:12 寫道：

Thanks for lot

dathuynh @.***> 於 2022年1月11日 週二 13:00 寫道：

Hi @MargerA-ops https://github.com/MargerA-ops ,

Thanks for reaching out. The "full_sparse_dict_feature_with_label.tfrecords" file is the subset of training data used for speeding up training. For more information, please refer to section 4.2 in our supplementary material https://hbdat.github.io/pubs/suppmat_ssmll_final.pdf.

Best, Dat

— Reply to this email directly, view it on GitHub https://github.com/hbdat/cvpr20_IMCL/issues/5#issuecomment-1009600609, or unsubscribe https://github.com/notifications/unsubscribe-auth/ASJOWBZJ627UISTTPYZNGWTUVO2OTANCNFSM5LN7WCKA . Triage notifications on the go with GitHub Mobile for iOS https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675 or Android https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub.

You are receiving this because you were mentioned.Message ID: @.***>