Visualization results with t-sne

[Hiiragi0107]

Hello.
Thank you for providing me with great code.
I would like to see the results of the visualization when I actually run it myself.
It would be great if you could provide me with the code to visualize using t-sne.
Thank you for your help.

[zhangdan8962]

@Hiiragi0107 Did you figure out the code?

[DinSangrasi]

No, I requested the author, he denied. If u get that kindly email me . Cheers

…

________________________________ From: zhangdan8962 ***@***.***> Sent: Monday, June 7, 2021 4:30:57 PM To: HobbitLong/SupContrast ***@***.***> Cc: Subscribed ***@***.***> Subject: Re: [HobbitLong/SupContrast] Visualization results with t-sne (#39) @Hiiragi0107<https://github.com/Hiiragi0107> Did you figure out the code? — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub<#39 (comment)>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/ALOIXP52T4U5H2IX35HXDATTRRRSDANCNFSM4SEIUQMQ>.

[zhangdan8962]

Did he mention the values of parameters for TSNE or other tricks?

[DinSangrasi]

He didn't mention any such thing, all he said that he has written a new version of tune which will be released later, not now. Just wondering, are u also working on sup contrastive loss? Get Outlook for Android<https://aka.ms/AAb9ysg>

…

________________________________ From: zhangdan8962 ***@***.***> Sent: Tuesday, June 8, 2021 12:16:47 AM To: HobbitLong/SupContrast ***@***.***> Cc: Din Sangrasi ***@***.***>; Comment ***@***.***> Subject: Re: [HobbitLong/SupContrast] Visualization results with t-sne (#39) Did he mention the values of parameters for TSNE or other tricks? — You are receiving this because you commented. Reply to this email directly, view it on GitHub<#39 (comment)>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/ALOIXP7ERTFZFKQRQZSYAITTRTIE7ANCNFSM4SEIUQMQ>.

[zhangdan8962]

No, I am working on general self-supervised learning. But I have not figured out how to visualize the latent space correctly. Simply using TSNE just does not make any sense in my experiment.

[DinSangrasi]

R u from China? Get Outlook for Android<https://aka.ms/AAb9ysg>

…

________________________________ From: zhangdan8962 ***@***.***> Sent: Tuesday, June 8, 2021 12:44:44 AM To: HobbitLong/SupContrast ***@***.***> Cc: Din Sangrasi ***@***.***>; Comment ***@***.***> Subject: Re: [HobbitLong/SupContrast] Visualization results with t-sne (#39) No, I am working on general self-supervised learning. But I have not figured out how to visualize the latent space correctly. Simply using TSNE just does not make any sense in my experiment. — You are receiving this because you commented. Reply to this email directly, view it on GitHub<#39 (comment)>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/ALOIXPYR4PGQNKZWEIKVZFDTRTLNZANCNFSM4SEIUQMQ>.

[zhangdan8962]

Yep!