The response_seq_class_m is used for the input sequence (why do the code randomly change the label of the Input Sequence),

[huimlight]

Why do I randomly change the label of the Input Sequence? I don't really understand.

[huimlight]

label_mapping = {'none': new_label,
'rand_cls': rand_cls,
'real_n_fake_cls': real_n_fake_cls,
'rand_n_fake_cls': rand_n_fake_cls,
'real_n_rand_n_fake_cls': real_n_rand_n_fake_cls}

What are the benefits of ‘’rand_n_fake_cls‘’ over 'none'？

[chentingpc]

this is mainly to avoid shortcuts in learning. For example, once the model confirms a fake/noise object appears, all the rest objects can be easily recognized as fake/noise.

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On Sat, Sep 24, 2022 at 10:27 AM huimlight ***@***.***> wrote: label_mapping = {'none': new_label, 'rand_cls': rand_cls, 'real_n_fake_cls': real_n_fake_cls, 'rand_n_fake_cls': rand_n_fake_cls, 'real_n_rand_n_fake_cls': real_n_rand_n_fake_cls} What are the benefits of ‘’rand_n_fake_cls‘’ over 'none'？ — Reply to this email directly, view it on GitHub <#18 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AAKERUJHEWRWRRNSCWNZMHDV742ZFANCNFSM6AAAAAAQUXFSI4> . You are receiving this because you are subscribed to this thread.Message ID: ***@***.***>